{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "11ff232c-0592-408c-a3fd-f9f8f62b4909",
   "metadata": {},
   "source": [
    "# 描述性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "8c0155ac-64bd-4e44-bb74-8d20b9cef308",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import jieba\n",
    "import re\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
    "from gensim.models import Word2Vec\n",
    "import numpy as np\n",
    "\n",
    "# 加载数据\n",
    "data = pd.read_csv('奶茶话题评论.csv')\n",
    "comments = data['text'].tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fcddd8b-57e9-4746-8dea-8ffb4ebf6033",
   "metadata": {},
   "source": [
    "# 统计每个用户的评论数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "9c782041-dcff-41ed-841c-25ecff972445",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "user_name\n",
      "评论罗伯特         63\n",
      "颜颜颜呀ii        10\n",
      "杨桃在周七          7\n",
      "小诺宅            5\n",
      "逍遥e_赴山海大爆版     5\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rcParams\n",
    "\n",
    "# 加载数据\n",
    "data = pd.read_csv('奶茶话题评论.csv')\n",
    "\n",
    "# 统计每个用户的评论数\n",
    "user_activity = data['user_name'].value_counts()\n",
    "print(user_activity.head())  # 打印评论数最多的前几个用户\n",
    "\n",
    "# 设置Matplotlib支持中文字体显示（以SimHei为例，需确保系统中安装了该字体）\n",
    "rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "\n",
    "# 可视化用户活跃度\n",
    "plt.figure(figsize=(12, 6))  # 调整图表大小\n",
    "user_activity.head(10).plot(kind='bar', color='skyblue')  # 仅展示前10个最活跃的用户，并设置柱状图颜色\n",
    "plt.title('最活跃的10个用户', fontsize=16, fontweight='bold')  # 设置标题，并调整字体大小和粗细\n",
    "plt.xlabel('用户名', fontsize=14)  # 设置x轴标签，并调整字体大小\n",
    "plt.ylabel('评论数量', fontsize=14)  # 设置y轴标签，并调整字体大小\n",
    "plt.xticks(rotation=45, fontsize=12)  # 设置x轴刻度标签旋转角度和字体大小\n",
    "plt.yticks(fontsize=12)  # 设置y轴刻度标签字体大小\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)  # 添加y轴网格线，并设置样式和透明度\n",
    "plt.tight_layout()  # 自动调整子图参数，使之填充整个图像区域\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "de89b7d7-96c3-4f16-abc4-11a05ea72ff6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    866.000000\n",
      "mean      10.927252\n",
      "std       13.680940\n",
      "min        0.000000\n",
      "25%        4.000000\n",
      "50%        7.000000\n",
      "75%       12.000000\n",
      "max      166.000000\n",
      "Name: 评论长度, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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ePVmTy+zZsxUIBNTa2qrW1taMY2VlZZo2bZri8XhWn0zT1MKFCyVJ+/bty5pAZsyYoaKiInV0dKipqSnjWHFxsaZPnz7g+F60aJEkqaGhQZ2dnZKk+vp6WZalmpoalZaWqqurS/v37894XTAYTN80oL9258+fL4/Ho6ampnS7rqqqKlVUVCgSiWjv3r0Zx3w+n+bOnStJ2r17d9Y4nDNnjvx+f7/veXl5uaqrqxWLxTLuuCmlfmAsWLBAkrR3796syX3mzJkKhUJqb29Xc3NzxrFCmyP8fr/mzJkjKbV3Xt8fVHPnzpXP51NLS4va+3xfVVRUqKqqStFoVLt378445vF4NH/+fEmpa9j3h9ysWbMUDAbV1tamlpaWjGPuLxASiUTWe24YRnoc1tfXZ81b06dPV3FxsTo7O9XY2JhxrKioSDNmzOh3bpekhQsXyjAMNTY2KhwOZxxjjkgZyRzR3d2dcSwf5gj3e9mdt5gjUgptjigtLVVNTY0SiUTWueZqjnA/a/VXfc8ccUC+zxH59jnCHUvunCUxR7gKbY7It88Rvf/MHFG4c0Q+fI5IJBIZK9EGYzh9Z4g8sGnTJt1444268847dfTRRw/4vMsvv1zNzc264447dPPNN+uhhx7S5s2b08ebmpq0atUq3XfffVq+fPmI+/HKK69IkhYvXpzxeL4ljtLgqW0sFlNJSYn+srej32Vqw6mAaosm9WpLTD5TOrrSd+DrDrMCaprf0vLqkJ6v71RnbGwroPZHknq7M6lSr6HDyn2DVkCVBrw6elqQCqgx+q1EOBzW9u3btWjRIgWDQX4r0aPQ5oh8/M1lNBrVtm3btHTpUnk82b8rydffug11rlNtjsjH8d3d3Z0xbzFHZJ5rocwR+Ti+Y7GYtm7dqsWLF6evl4s54oB8nyP6yvUc0d7enjFnDdXuZL2GU2V8D3WuYzlHuD8Ply1bJp/PN2muYSGO70L/HFFXVyfDMHT44YdnvaavvKuAeuaZZ3TjjTfqi1/8Yjp8CofDevnll7Vy5cqM57a1taUHwZFHHqlNmzappaUlvXn5q6++KimVlB4M9w3syzTNAY9Jyvrw0ZtlWVkVWy7DMAZtd7B0sb92ew8ON9jpj2kNvLdTJOneAc/st41B2zVNGT1tm6Ylq9dd9AzDGPS1A10jt12ZUonfkDqTCiccGWZP28bgfRrpNexttO/NUONlsGMej6fff4QPp93BxuFg7Q41Dn0+X3rS8vl8Gc+dyPHd23i9N6O9hoUyR/SWL+Pb/UE7nHE4knZdB9NuoVzD4babb9dwvMe3O7b6zlvMEUO3KzG+B2vXHVuWZY36XKf6NXRNtvF9MHOE+9q+c9ZQ7U62azhVxrc0cdewd6gxma5hIY7vQv8cMdzld1IebUIuSW+99ZbWr1+vE044QRdddFH68V27dumCCy7Qjh07Mh57/vnn9b73vU9SakleKBTS7bffLim1DvHOO+/U4sWLVV1dPZGnMSmlA6g8ugOeK9gTaCUcKZ5dTAUAAAAAAHIsbyqg4vG4LrvsMhmGobVr16arl6TU+vVjjz1Wn/3sZ7V27VrF43HdfvvtCgaDOv/88yWlUrj169fr2muv1bZt29TW1qYXXnhBt9xyS65OaVLp7rkDXiCP7oDnsgxDQctQd9JRV8KWb5DUGgAAAAAATLy8CaC2bdum7du3S1I6VHJ973vf049//GN95zvf0fXXXy+fz6fjjz9eV1xxhWpra9PPO+ecc1RTU6M77rhDhmFo48aNOumkkyb0PCarfK6AkqSQ11R3MqlwwlaFnwAKAAAAAIB8kjcB1PLly1VXVzfoc2688cYh21mzZo3WrFkzVt2CUssZu9N7QOVnAFXkMdQkqSued3vqAwAAAAAw5eXfeirknZgt2T25jj9fK6B6lgaGE2wCBQAAAABAviGAwpAi7v5PliFzBDvcT6SinsqscMLJutUkAAAAAADILQIoDKk7z/d/klKVWaYhOTrQXwAAAAAAkB8IoDAkdwPyQJ7u/yRJhmGkq6C64izDAwAAAAAgnxBAYUjdPUvwglZ+D5cD+0BRAQUAAAAAQD7J70QBeaG7ACqgJKmoJ4DqYiNyAAAAAADyCgEUBuU4jiKJ/N8DSpJC3gMbkQMAAAAAgPxBAIVBRZOOHEmGUht95zO3AiqadJSwCaEAAAAAAMgXBFAYVHoDcsuQYeR3AOUxDflMtwqKZXgAAAAAAOQLAigMyt3/KZjn+z+50nfCYxkeAAAAAAB5gwAKg3LvgBfI8zvguUJe9054VEABAAAAAJAvCiNVQM5ECqwCKtTTz3CcCigAAAAAAPIFARQG1Z04sAdUIXA3Iu9K2HIcQigAAAAAAPIBARQGZDtOrwqowhgqQY8hQ1LSkWLcCQ8AAAAAgLxQGKkCciLWEz6ZknwFMlJMw0gvF+xiGR4AAAAAAHmhQGIF5IJb/eS3DBlGYSzBk6SQh43IAQAAAADIJwRQGFC0VwBVSNyNyN39qwAAAAAAQG4RQGFAhRtA9VRAJamAAgAAAAAgHxBAYUDuErxCuQOey90DKpxwuBMeAAAAAAB5gAAKAyrUCqiglboTnu1IUe6EBwAAAABAzhFAYUDRdAVUYQ0To9ed8NgHCgAAAACA3CusZAETxnacdPVQoVVASVKQO+EBAAAAAJA3CKDQr1hP9ZMhyVuAoyTUax8oAAAAAACQWwUYLWAi9N7/yTAKrwIqRAUUAAAAAAB5gwAK/SrUO+C5Qr32gOJOeAAAAAAA5BYBFPpVqHfAcwV67oSXdKQYd8IDAAAAACCnCKDQr2iBV0CZhpHuO/tAAQAAAACQWwRQ6FekwCugJDYiBwAAAAAgXxBAoV+FvgRPYiNyAAAAAADyBQEUsjiOo6jtBlCFO0SCvTYiBwAAAAAAuVO46QLGjRs+GZJ8BTxCeldAcSc8AAAAAAByp4DjBYyX3svvDKNwl+C5FVCpO+HluDMAAAAAAExhBFDIUuh3wHOZhqGg5S7DI4ECAAAAACBXCKCQZTLcAc8V5E54AAAAAADkHAEUskyGO+C5uBMeAAAAAAC5RwCFLJOpAipEBRQAAAAAADlHAIUsk2UPKOlABVQ3d8IDAAAAACBnCKCQwXEcxdIVUIU/PAI9FVAJR4qzCg8AAAAAgJwo/IQBYypmO3IkGZJ8k2B0WIaRruRiHygAAAAAAHJjEkQMGEu9938yjMJfgiexDxQAAAAAALlGAIUMk+kOeK7e+0ABAAAAAICJRwCFDJPpDniuIBVQAAAAAADkFAEUMkymO+C53AqoMHfCAwAAAAAgJwigkGEyLsEL9roTXoxVeAAAAAAATDgCKGSITMIKqN53wuuKk0ABAAAAADDRCKCQ5jiOYukKqMk1NNwqqE42IgcAAAAAYMJNrpQBByVmO3IkGZJ8k2xkuPtAUQEFAAAAAMDEm2QxAw5G7zvgGcbkWYInSUF3CR4VUAAAAAAATDgCKKRNxg3IXW4FVGecu+ABAAAAADDRCKCQNpkDKHcPqJjtKEIVFAAAAAAAE4oACmmT8Q54Lo9ppPe1aoomc9sZAAAAAACmGAIopE3mCihJCvYsw2uMEEABAAAAADCRCKCQNtkDqFDPMrwmAigAAAAAACYUARQkSY7jpAOoybgET+pdAZXIcU8AAAAAAJhaCKAgSYrZknt/OJ85OQMoKqAAAAAAAMgNAihIkqLJ1J3h/KYhw5isAVRquLfFbMWSzhDPBgAAAAAAY4UACpKUDmR8k3T5nSR5TUPenhHfzJ3wAAAAAACYMARQkCRF7cm9AbmrqKcKqol9oAAAAAAAmDAEUJA0+e+A5yr2uhuRUwEFAAAAAMBEIYCCpF4B1CTdgNx1oAKKAAoAAAAAgIlCAAVJU2MPKEkq8nInPAAAAAAAJhoBFCRNnT2ginsqoJqjSSVt7oQHAAAAAMBEyKsAqqWlRV/60pd09NFHa8WKFTrvvPO0a9eu9PEtW7borLPO0lFHHaV169Zp7969Ga/v6urSVVddpfe///1as2aN/vSnP030KRQk23EUt1N/nuwBlN8y5DMNOZJauBMeAAAAAAATIq8CqC9+8Yt67rnn9LnPfU5f+cpXtHXrVl122WWSpF27dmndunUKBoO66aabVFtbq4svvljxeDz9+g0bNujhhx/WVVddpUsvvVRXXnmlXnrppVydTsFwl9+ZkjyTO3+SYRiqCliS2IgcAAAAAICJ4sl1B1xPP/20tmzZos2bN2v27NmSpKKiIn3961/Xzp07ddttt8nr9Wrjxo0KhUJatWqVTjnlFD3yyCM67bTTtGXLFj366KP60Y9+pNNPP11SKrTauHGjbr311lyeWt5zl9/5LEOGMckTKElVAUt7wwk1UQEFAAAAAMCEyJsKqMMPP1z33HNPOnySpIqKCklSPB7XM888o5NPPlmhUEiSZFmWTjzxRD3zzDOSUgFWMBjUmjVr0q9fvXq1nn32WSWTBA2DSd8Bb5Ivv3NV91RAsRE5AAAAAAATI28CqJKSEh1yyCEZj/3P//yPKisrNX/+fO3fv19LlizJOD5z5kzt2LFDkrR//34tXLhQXq83fXzGjBmKRCKqr68f9/4XsvQd8MypEUAdWIKXyHFPAAAAAACYGvJmCV5fO3fu1L333qsvfOELMk1TkUhEpaWlGc/x+/1qaWmRpH6PBwIBSVJzc7Nmzpw56r5Eo9GMv5umKa/XK9u2M/ag6t0vSYrFYnKczDuteTweWZalZDKpRCIzADEMQz6fT47jKBaLZbXr8/lkGIbi8bhs2844ZlmWPB5Pv+32/nsykV31E0kHUNnHDdOQaZpyHEd20s56reWxBmzXtEwZhiHbtuUkU+GWbSeVTNgyDEOmNYx2k0mpz83qTNOUYfa02+dOdm67ctR/5ZvHVHUgNeybIkl1RyIye5YdDue9kbLHgyR5vV6Zpjnoe9PfeBluu4lEIut8xmIcDtbuUOMwFoulj8disfR5TvT4Hq/3Rhr8Go73ezPZruFIx7fbR8dx+n3tRIzv0bw3Q53rVJsj8nF89523mCMyz7VQ5oh8HN9uW8lkMut8mCMOyPc5oq9czxF956yh2p2s13CqjO+hznUs54je/Z9M17AQx3ehf45wHGfYW/nkZQBl27auvPJKTZ8+XWvXrpWUOll30nX5fD5FIpEBj7vVUO5zRtuXnTt3ZjxWUlKi2tpaJZPJrGOS0pVc+/fvz/ratbW1KikpUWdnpxoaGjKOhUIhzZw5U47j9NvuggULZFmWGhsb1dXVlXGsurpa5eXl6u7u1r59+zKOBQIBlZSUSJLa29v75jmKKihJMpIJtbVnthsMBBQMBZVMJNXe0ZFxzDRNlZeXSZI6OjuzvuFKS0rk8XoUjUQVtg1JIXWHu9UWjsrv96uoKCTbttXW3p7xOkNSRWVq+WVXZ5cSfb7hiouL5PP5FIvFFA53Zxzzeb0qLimW4zhZ7UpSaaBSZT5TlhwlHUN17+1RsZnq97Rp01RWVqZwOJxVNRcIBNLLQ/t7b+bNmyfTNNXc3KyOPtepsrJSlZWVikQi2rNnT8Yxr9erefPmSZL27NmTNbnMnj1bgUBAra2tam1tzThWVlamadOmKR6PZ/XJNE0tXLhQkrRv376sCWTGjBkqKipSR0eHmpqaMo4VFxdr+vTpA47vRYsWSZIaGhrU2dkpSaqvr5dlWaqpqVFpaam6urq0f//+jNcFg0HNmjVLUv/XcP78+fJ4PGpqakq366qqqlJFRYUikUjW3S99Pp/mzp0rSdq9e3fWOJwzZ478fr9aW1vV1taWcay8vFzV1dWKxWIZd9yUUj8wFixYIEnau3dv1uQ+c+ZMhUIhtbe3q7m5OeNYoc0Rfr9fc+bMkZTaO6/vD6q5c+fK5/OppaVF7X2+ryoqKlRVVaVoNKrdu3dnHPN4PJo/f76k1DXs+0Nu1qxZCgaDamtrS/8yweX+AiGRSGS954ZhpMdhfX191oeB6dOnq7i4WJ2dnWpsbMw4VlRUpBkzZvQ7t0vSwoULZRiGGhsbFQ6HM44xR6SMZI7o7s6co/NhjnC/l915izkipdDmiNLSUtXU1CiRSGSda67mCPezVn/V98wRB+T7HJFvnyPcseTOWRJzhKvQ5oh8+xzR+8/MEYU7R+TD54hEIpGxEm0whtN3hsgDmzZt0o033qg777xTRx99tCTppJNO0rnnnqt169aln/fzn/9cmzdv1gMPPKCbb75ZDz30kDZv3pw+3tTUpFWrVum+++7T8uXLR9yPV155RZK0ePHijMfzLXGUBk9tY7GYSkpK9Je9HQonst/uLa1xhROOlpZ6VO7LXJU5VhVQ0/yWlleH9Hx9pzpjuauAKg14dfS0oG57o1kNEVt/OyeohSWpHDbffivRu918/a1EOBzW9u3btWjRIgWDQX4r0aPQ5oh8/M1lNBrVtm3btHTpUnk82b8rydffug11rlNtjsjH8d3d3Z0xbzFHZJ5rocwR+Ti+Y7GYtm7dqsWLF6evl4s54oB8nyP6yvUc0d7enjFnDdXuZL2GU2V8D3WuYzlHuD8Ply1bJp/PN2muYSGO70L/HFFXVyfDMHT44YdnvaavvKuAeuaZZ3TjjTfqi1/8Yjp8kqQjjzxSL774YkYA9dprr6mmpiZ9fNOmTWppaUlvXv7qq69KUvo5o+W+gX2ZpjngMUlZHz56sywrq2LLZRjGoO0Oli72127vweEGO73FkqnBFfBasjz9bwtmGEa/rx2sXZdpmjIss+fPlizPgfK8Idsd4Bq57Q64i5kxeJ+qAx41RGJqT2Zf68HeG2ng8SAN/t4MNV4GO+bxePr9R/hw2h1sHA7W7lDj0OfzpSctn8+X8dyJHN+9jdd7M9prWChzRG/5Mr7dH7TDGYcjadd1MO0WyjUcbrv5dg3He3y7Y6vvvMUcMXS7EuN7sHbdsWVZ1qjPdapfQ9dkG98HM0e4r+07Zw3V7mS7hlNlfEsTdw17hxqT6RoW4vgu9M8Rw11+J+XRJuSS9NZbb2n9+vU64YQTdNFFF2UcO/XUU/XEE0+orq5OUqq887HHHtOqVaskSStXrlQoFNLtt98uKbUO8c4779TixYtVXV09sSdSQJKOI7coaqrcBU+Sqnr2gWrkTngAAAAAAIy7vKmAisfjuuyyy2QYhtauXZuuXpJS69dXr16tFStWaO3atTrxxBP11FNPqbKyUmeddZakVAq3fv16XXvttdq2bZva2tr0wgsv6JZbbsnVKRWEaM8G5KYhTaH8SdU9d8JrIoACAAAAAGDc5U0AtW3bNm3fvl2SdP7552cc+973vqczzjhDt99+u37yk5/o6aef1nHHHacNGzaouLg4/bxzzjlHNTU1uuOOO2QYhjZu3KiTTjppQs+j0MR6Aii/aYyodK7QVfUEUI2R5Ih27QcAAAAAACOXNwHU8uXL08vrBhIMBrVhw4ZBn7NmzRqtWbNmLLs2qbkVUFNp+Z0kVfgtGZJitqPOuK0S38BrfQEAAAAAwMHJqz2gMPGiPXeR802xAMpjGqrwswwPAAAAAICJQAA1xcWmaAWUlLkMDwAAAAAAjB8CqCku2msPqKkmvRF5lAAKAAAAAIDxRAA1xblL8KZ2BVQixz0BAAAAAGByI4CawhzHSVdATbU9oCSpOpDag589oAAAAAAAGF8EUFNY0pF6CqCmZAVUZc8m5OGEo3DCznFvAAAAAACYvAigpjC3+sljSJYx9QIon2Wo1Jf6FqAKCgAAAACA8UMANYVN5f2fXNU9VVAEUAAAAAAAjB8CqCksNoX3f3KxETkAAAAAAOOPAGoKc5fg+c2pG0CxETkAAAAAAOOPAGoKSwdQVEARQAEAAAAAMI4IoKawmM0SPDeAao/biia5Ex4AAAAAAOOBAGoKowJKCnpMFXlS599MFRQAAAAAAOOCAGqKchwnvQn5VN4DSpKqevaBaiSAAgAAAABgXBBATVEJR3IXnE3lJXiSVM0+UAAAAAAAjCsCqCnKXX7nNSXTmNoBlLsPVGOUAAoAAAAAgPFAADVFRVl+l3bgTniJHPcEAAAAAIDJiQBqinL3f5rqy+8kqbpnD6jWqK1Ez50BAQAAAADA2CGAmqKiNnfAcxV5DPktQ46kZpbhAQAAAAAw5gigpqj0EjwCKBmGwUbkAAAAAACMIwKoKSq9BI89oCRJVf6ejcjZBwoAAAAAgDFHADVFUQGVqYoKKAAAAAAAxg0B1BTkOI5i7AGVwd2InAAKAAAAAICxRwA1BcVsyb3XG0vwUtwKqOZoUrbDnfAAAAAAABhLBFBTUO/9nwyDAEqSynymvKaUdKTWqJ3r7gAAAAAAMKkQQE1BUZbfZTEMQ5VsRA4AAAAAwLgggJqCoslUhQ8BVCb2gQIAAAAAYHwQQE1B0V5L8HCAuw9UIwEUAAAAAABjigBqCnL3gKICKpMbQDVFCaAAAAAAABhL4xpAxWKx8Wweo8QeUP2rdgOoSEIOd8IDAAAAAGDMjDiA2rNnj+LxeL/HWltblUikNnB+5ZVXdMwxxxxc7zAu0kvwCKAylPstmYYUt6X2OHfCAwAAAABgrIwogOru7tbJJ5+srVu36sUXX9R//ud/Zhz/6le/qiuvvFKSFAgEFAgExq6nGBO248jNVvzsAZXB6nUnPDYiBwAAAABg7IwogPL5fHIcR6FQSN/97nd13XXX6a233pIk/fGPf9STTz6pD3/4w5Iky7JkWdbY9xgHxd3/yZDkZQewLGxEDgAAAADA2BtRBOEGSmVlZfrlL3+pBQsW6MILL9SuXbt0ww036Oyzz9bHP/7x9PMNgwqbfNN7/yfen2zV6QAqkeOeAAAAAAAweYyqBsbn86m8vFy33nqrPvShD6mmpkbXXnutLrnkEm3atGms+4gx5FZA+Vh+16/qgEeS1NhNBRQAAAAAAGPFczAvbm1t1Xe/+11JUnV1tT71qU+pvr5exx9/vILB4Jh0EGPL3YCcO+D178Cd8JJyHIcqMQAAAAAAxsCodwH661//qk984hN68cUXZdu2LrnkEu3fv19XXnmlDjvssLHsI8ZQ7yV4yFbpt2QqdZ06uBMeAAAAAABjYkQB1L59+9IVIVVVVTrmmGN06aWXavv27frBD36giy66SKbJztb5LL0EjwCqX5ZpqJKNyAEAAAAAGFPDTou+8pWv6KSTTpIkNTY2yufz6bbbbtMJJ5ygdevWqba2VtXV1frBD36g448/Xueee67a2tp0/PHH6/jjj9eqVat09NFHj9uJYHjSS/DYA2pA7jK8hm42IgcAAAAAYCwMO4CqqKjQJz7xCUnSD3/4Q61bt07Nzc1asmSJvF6vPvOZz8jr9aqqqkonnHCCjj32WHk8Hp1wwgk64YQT9JGPfEQf+chHxu1EMDzsATW09EbkVEABAAAAADAmhr0J+dVXXy1Juueee3T00UfrxRdf1Kc+9SmtXLlSH/7wh+XxeHTzzTdr0aJF+u53v6vt27frL3/5S3qTcuRe0nGUSOVPLMEbRDVL8AAAAAAAGFOj2rDpzDPP1EMPPaTjjz9ed999t7Zv364rr7xS1dXVevXVV2XbNncPy0Nu9ZNpSB7engFVBzPvhAcAAAAAAA7OsCug+gqFQvrGN76hRCKhWbNmybIsXXrppfrzn/+scDg8ln3EGHELevymQUA4iAq/JdOQYraj9ritMp+V6y4BAAAAAFDQRhVAJZOpJOOJJ57QokWLtHbtWl1//fUyTVPf+c53JEn79+8fu15iTERt7oA3HJZhqMpvqSGSVGN3kgAKAAAAAICDNKoleJ2dnXr99dd1+eWX6+GHH5bjOPrABz6gf/u3f9Nf/vKX9PNYvpRfImxAPmzpO+FFuBMeAAAAAAAHa0QBVCwWkyR1dXXpP/7jP1RbW6uf/exnMgxDH/nIR/ShD31Il112md577z3F43HF4/Fx6TRGJ30HPJMAaijVQe6EBwAAAADAWBlRAGUYhi655BKVlZXp61//ujZt2qSioqL08S984Qs69NBDZZqmYrGYotHomHcYoxd194CiAmpI6TvhdRNAAQAAAABwsEa0B5TX69UXv/jF9N/nzZuXcfywww7Tr3/961TDHo8uuuiig+8hxkyEPaCGzQ2gmqIJOY7Dpu0AAAAAAByEEVVA7dq1S9u3bx/Wc6dPn67169en/37rrbeqrq5uZL3DmGIPqOGr8FuyDCluS20xO9fdAQAAAACgoI2oAuqee+7R3r179S//8i+SpI9+9KMKBALyeDKbsW1biURChx9+uK677jo9+OCD+uEPf6g9e/bo29/+9ph1HsMXTdrqyZ/YA2oYTMNQZc+d8BoiCZX7uRMeAAAAAACjNaIAKhAIyOfzpf++Y8cOrVy5Uoceemi/z1+0aJF2796tq6++Wqeccoq+9a1vHVxvMWrtPVU8liFZBFDDMi3oUUMkqcbupA4ty3VvAAAAAAAoXCMKoCzLkmlmrtr76Ec/qn/8x38c8DXf/va3VVNTo+uvv559dHKoI54KoFh+N3zpjci5Ex4AAAAAAAdlRAGUJO3fv187d+7UnDlzMh4/77zz1NbWppkzZ6qqqkpz5szRBz7wAV111VVqaGhQMBgcs05j5NwKKAKo4TsQQCVy3BMAAAAAAArbiAOoJ554Qk8++aSKiooyKpqKiork8XgUj8f19ttv68knn9SPf/xjHXbYYek9o5A77fFUFY+P5XfDVh1IfXs0RZKyHUcmFXwAAAAAAIzKiAOov/u7v9P555+vbdu26YorrkiHUD/72c+ynvviiy/qe9/7nj71qU/prrvuGnCvKIy/DiqgRqzcb8pjSAkndSe8CjYiBwAAAABgVEYUQNm2La/Xq2XLlmnZsmW64oortHHjRv37v/97v8//+Mc/rrvuuksXX3yxLr74Ym3evFnFxcVj0nGMDEvwRs40DFUGLO3vTqqhO0EABQAAAADAKI0ogIpGo4rFYum/n3XWWQoGg1kbk9u2rUQioenTp8vn8+n73/++Tj/9dN1www265pprxqbnGBF3E3KW4I3MtIBH+7uTaowktTjXnQEAAAAAoECNKIA67rjj1NLSohdffFErVqzQd77zHe3du1c//elP9c1vflMtLS36wx/+oDPOOEPl5eXp102fPl0f+9jH5Pf7x7r/GAbHcdQeS+0BRQXUyHAnPAAAAAAADp459FMO+MAHPqATTjhB55xzjhobGyVJkUhEv/vd72Sapl5++WX9y7/8i04++WTdeuutsm07/dqLLrpIX/3qV8e29xiWiJ3ax0gigBqp6iB3wgMAAAAA4GCNKICSJL/fL8dxFAgEJEler1eSZFmW1qxZo0cffVRnnHGGbrzxRp133nlqb2+XJM2ZM0eWxR46udDZs/zOa4o7uY1Q3zvhAQAAAACAkRv2Erz7779fb7/9trxerwzD0C9/+UsFAgF1dHRIkh566CG9+uqr8vl8Kisr0/vf/34988wz+vSnP627775bPp9v3E4Cg+uIp4KTAPs/jVi578Cd8FqjtioDhKgAAAAAAIzUsAOo559/Xn/+85/l8Xg0Z84cPfTQQ5KkRCK1NGnLli26//77FQgEZPRU2cydO1dbt27VNddco+uuu27Ynfrf//1ffetb39IjjzyS8fjxxx+vhoaGjMe+/e1v61Of+pQkqaurS9ddd50eeeQRlZWV6Utf+pJOO+20YX/dyaqjZ/0dy+9GzjAMVQUs1Xcn1RBJEEABAAAAADAKww6grr322n4f37Vrl9asWaOvfOUruuSSS1RcXJxx/K677tJ3v/tdffjDH9app5465NfZvn27vvzlLysUCmU83tjYqIaGBm3atElVVVXpx2fNmpX+84YNG/Tcc8/p6quvlm3buvLKKzV9+nQdddRRwz3NSanTrYAiOxmVaUGP6nvuhLck150BAAAAAKAAjegueJJ022236c0335RlWTIMQ+FwOH3s8ssvVzgc1rp163TyySdLks455xzdc889uvHGG3XKKaekq6P6s2XLFl100UWaM2eOmpubM469/vrrKioq0kc+8pF+29iyZYseffRR/ehHP9Lpp58uKRWObdy4UbfeeutIT3NS6Uik9oDyswRvVKb1JHcN3WxEDgAAAADAaIx4E/KGhga99957eu+997Rz507t3btXkmTbtv72b/9WHo9Hn//853XJJZekX7N27Vq9/fbbevjhhwdt+7nnntNXv/pVnX322VnHXn/9da1YsWLAAOvpp59WMBjUmjVr0o+tXr1azz77rJLJ5EhPc1I5UAFFADUa04KpnLahe2qPIwAAAAAARmvEFVBf+9rXMv6+fft2rVu3TolEQh/72Mf0sY99THV1ddq+fXv6Oaeccoruu+8+ffjDHx607QsuuECmaeree+/NOvbaa69pz549Oumkk9TY2KjFixdr/fr1+tCHPiRJ2r9/vxYuXJi+K58kzZgxQ5FIRPX19Zo5c+ZIT3XSYA+og1PTE0A1R5NK2I48VJIBAAAAADAiIw6g+lq0aJGefPLJjMeWLFmiJUsO7JZTXFysjRs3KhAIDNqWaQ5ckLVlyxZVVVXpn/7pn1RSUqK77rpLl156qe6//34tWrRIkUhEpaWlGa9xv15zc/NBBVDRaDSrn16vV7ZtKx6PZz3f7/dLkmKxmBzHyTjm8XhkWZaSyWR6A3eXYRjy+XxyHEexWCyrXZ/PJ8MwFI/HZdt2xjHLsuTxeLLadRwnowIqmciu4jEtU4ZhyE7aWf01TEOmacpxHNlJO+u1lie1PG3Qdm1bTjIV2th2UsmELcMwZFrDaDeZlDK7JNM0ZZg97dp9+tvTrhz1X/nmSY2x/q7hQO+Nx3EUsAxFko4aI0lVWNnter1emaY56HvT33hx33Mpe5z1bjeRSGSdz1iMw8HaHWocxmKx9PFYLJY+z4kc373blQa/hiN9b6TBr+F4vzeT7RqOdHy7fXQcp9/XTsT4Hs17M9S5TrU5Ih/Hd995izki81wLZY7Ix/HttpVMJrPOhznigHyfI/rK9RzRd84aqt3Jeg2nyvge6lzHco7o3f/JdA0LcXwX+ucIx3EG3Wop4+sP61ljoO/m5CP105/+VPPmzUu3s3LlSp1yyim655579LWvfU0+ny89KbvcaqhIJDLqr2vbtnbu3JnxWElJiWpra5VMJrOOSdIhhxwiKVWV1fdr19bWqqSkRJ2dnVl39AuFQpo5c6Ycx+m33QULFsiyLDU2NqqrqyvjWHV1tcrLy9Xd3a19+/alH4/YhmyVyZDkM6X9Le198xyVlZXKsix1RyJZ31TBQEDBUFDJRFLtHR0Zx0zTVHl5mSSpo7Mz6xuutKREHq9H0UhUYduQFFJ3uFtt4aj8fr+KikKybVtt7e0ZrzMkVVRWSJK6OruU6PMNV1xcJJ/Pp1gspnC4O+OYz+tVcUmxHMfJaleSSgOVkqTW1la1tbVlHJs2bZrKysoUDodVX1+feY3MEkWSlhq6E+ps2ZXV7rx582Sappqbm9XR5zpVVlaqsrJSkUhEe/bsyTjm9Xo1b948SdKePXuyJpfZs2crEAiotbVVra2tmX0qK9O0adMUj8ezxotpmlq4cKEkad++fVkTyIwZM1RUVKSOjg41NTVlHCsuLtb06dMHHN+LFi2SlFqO29nZKUmqr6+XZVmqqalRaWmpurq6tH///ozXBYPB9E0D+mt3/vz58ng8ampqSrfrqqqqUkVFhSKRSHrZr8vn82nu3LmSpN27d2eNwzlz5sjv9/f7npeXl6u6ulqxWEy7dmW+r5ZlacGCBZKkvXv3Zk3uM2fOVCgUUnt7e9aedYU0R0ipH1Jz5syRlNo7r+8Pqrlz58rn86mlpUXtfb6vKioqVFVVpWg0qt27d2cc83g8mj9/vqTUNez7Q27WrFkKBoNqa2tTS0tLxjH3FwiJRCLrPTcMIz0O6+vrs+at6dOnq7i4WJ2dnWpsbMw4VlRUpBkzZvQ7t0vSwoULZRiGGhsbM/Y4lAafIwKBgGbPni2p//E9VeeI7u7MOTof5gj3e9mdt5gjUgptjigtLVVNTY0SiUTWueZqjigpKZGkdPV9b8wRB+T7HJFvnyPcseTOWRJzhKvQ5oh8+xzR+8/MEYU7R+TD54hEIpGxEm0whtN3hsgD9957r37yk5/oscceG/R5l19+uZqbm3XHHXfo5ptv1kMPPaTNmzenjzc1NWnVqlW67777tHz58hH345VXXpEkLV68OOPxfEscpYFT2+6ErZ9t7VJN0NKKMo/Ciey3eyIqoKb5LS2vDun5+k51xnJXAVUa8OroacERVUBJ0hP7onqpOaZjpwV0/LTsb66p+pvLcDis7du3a9GiRQoGg/xWokchzRG925Xy5zeX0WhU27Zt09KlS+XxZP+uJF9/6zbUuU61OSIfx3d3d3fGvMUckXmuhTJH5OP4jsVi2rp1qxYvXpy+Xi7miAPyfY7oK9dzRHt7e8acNVS7k/UaTpXxPdS5juUc4f48XLZsmXw+36S5hoU4vgv9c0RdXZ0Mw9Dhhx+e9Zq+JqwC6mCEw2G9/PLLWrlyZcbjbW1t6UFw5JFHatOmTWppaVFFRap65tVXX5WUSkoPhvsG9mWa5oDHJGV9+OjNsqysii2XYRiDtjtYuti3Xb9fOneBrfKioF5v7EoHO/0xrYGXQBqGMehrB23XNGX0tG2alizPgfK8Idsd4Bq57Q64jb4xeJ9Gcg0laXqxIzXH1BBJyu8fuJpvsHaHGi+DHfN4PP3+I3w47Q42Dgdrd6hx6PP50pOWz+fLeO5Eje++RtvueF3DQpgj+hqvazjS8e3+oB3OOBxJu66DabdQruFw2823azje49sdW33nLeaIoduVGN+DteuOLcuyRn2uU/0auibb+D6YOcJ9bd85a6h2J9s1nCrjW5q4a9g71JhM17AQx3ehf44Y7vI7aRR3wcuFXbt26YILLtCOHTsyHnv++ef1vve9T1JqSV4oFNLtt98uKbUO8c4779TixYtVXV2dg17njyq/qWJvQbzVeWtaIPXN2dCdGOKZAAAAAACgr4KogFq8eLGOPfZYffazn9XatWsVj8d1++23KxgM6vzzz5eUSuHWr1+va6+9Vtu2bVNbW5teeOEF3XLLLTnuPSaD6kDqW6Ur4agrbquIQA8AAAAAgGErmH9F//jHP9ahhx6q66+/Xj/5yU901FFH6YEHHtCMGTPSzznnnHN08803q6OjQ4ZhaOPGjVq9enUOe43JwmcZqvCnvl0aIlRBAQAAAAAwEnlZAXXGGWfojDPOyHisqqpKN95445CvXbNmjdasWTNeXcMUNi3gUUs0pv3dSc0vyXVvAAAAAAAoHAVTAQXkWk0wldeyDxQAAAAAACNDAAUM07SguxF5cohnAgAAAACA3giggGFyK6AaIwnZjpPj3gAAAAAAUDgIoIBhKveZ8ppSwpFaolRBAQAAAAAwXARQwDAZhqHqgLsPFAEUAAAAAADDRQAFjIC7D9T+CBuRAwAAAAAwXARQwAjUUAEFAAAAAMCIEUABI3DgTnhUQAEAAAAAMFwEUMAITOu5E15rzFYsyZ3wAAAAAAAYDgIoYARCHlPFntS3TQP7QAEAAAAAMCwEUMAIHViGxz5QAAAAAAAMBwEUMELuMrz97AMFAAAAAMCwEEABI1TjVkCxBA8AAAAAgGEhgAJGaFogVQHV0J2U47AROQAAAAAAQyGAAkaoKmDJkBRJOuqI27nuDgAAAAAAeY8AChghj2moKsBG5AAAAAAADBcBFDAK0wLsAwUAAAAAwHARQAGjUNNzJ7z6MAEUAAAAAABDIYACRqE21BNAsQQPAAAAAIAhEUABo1DbUwHVHE0qluROeAAAAAAADIYAChiFIq+pYm/q22d/N8vwAAAAAAAYDAEUMEq1wdRG5PUEUAAAAAAADIoAChilWjYiBwAAAABgWAiggFE6sBE5ARQAAAAAAIMhgAJGya2AaogklbTZiBwAAAAAgIEQQAGjVOYzFbAM2Y7UGEnmujsAAAAAAOQtAihglAzDUE2QZXgAAAAAAAyFAAo4CNwJDwAAAACAoRFAAQchvRE5d8IDAAAAAGBABFDAQXA3It/fnZTjsBE5AAAAAAD9IYACDkJVwJLHkGK2o5aonevuAAAAAACQlwiggINgGoamsRE5AAAAAACDIoACDpK7DI99oAAAAAAA6B8BFHCQakPcCQ8AAAAAgMEQQAEHqbbXEjw2IgcAAAAAIBsBFHCQpgU9MiSFE44642xEDgAAAABAXwRQwEHymoaqAu4yvGSOewMAAAAAQP4hgALGQC13wgMAAAAAYEAEUMAYqA2lAqh93AkPAAAAAIAsBFDAGKgNcic8AAAAAAAGQgAFjAF3CV57zFZ3go3IAQAAAADojQAKU4rXNOQ4zpi3G/CYKvOlvp2GUwU1Hn0AAAAAACBfeXLdAWAieUzJMAy92RJRODG2IZDfMiRJLzZE1BwZ+G54IY+hpRWBMf3aAAAAAADkMwIoTEnhhKOuMV4qF+gJoJqjSU3r2ROqfxQeAgAAAACmFv4lDIyREm/q26kzzh5QAAAAAAD0RgAFjJHingAqknQUt9njCQAAAAAAFwEUMEY8pqFgzzI8qqAAAAAAADiAAAoYQ24VVAcBFAAAAAAAaQRQwBhiHygAAAAAALIRQAFjKF0BFbPlOOwDBQAAAACARAAFjKkiryFDUsKRokkCKAAAAAAAJAIoYEyZhqEib2ojcvaBAgAAAAAghQAKGGPF7AMFAAAAAEAGAihgjJWk74THEjwAAAAAACQCKGDMuRVQXXFbNhuRAwAAAABAAAWMtaBlyDIkW1I4QQAFAAAAAAABFDDGDMNgHygAAAAAAHohgALGwYF9oAigAAAAAAAggALGARVQAAAAAAAcQAAFjAO3AiqccJS02QcKAAAAADC1EUAB48BnGfKZhiSpM0EVFAAAAABgasvLAOp///d/tXr16qzHt2zZorPOOktHHXWU1q1bp71792Yc7+rq0lVXXaX3v//9WrNmjf70pz9NVJeBLCXengCKZXgAAAAAgCku7wKo7du368tf/rJsO/Mf7bt27dK6desUDAZ10003qba2VhdffLHi8Xj6ORs2bNDDDz+sq666SpdeeqmuvPJKvfTSSxN9CoCkA/tAdcRZggcAAAAAmNo8ue5Ab1u2bNFFF12kOXPmqLm5OePYL37xC3m9Xm3cuFGhUEirVq3SKaecokceeUSnnXaatmzZokcffVQ/+tGPdPrpp0tKhVYbN27UrbfemovTwRTn7gPVGaMCCgAAAAAwteVVBdRzzz2nr371qzr77LOzjj3zzDM6+eSTFQqFJEmWZenEE0/UM888I0l6+umnFQwGtWbNmvRrVq9erWeffVbJZHJiTgDopagngIrajmJJqqAAAAAAAFNXXgVQF1xwgc4444x+j+3fv19LlizJeGzmzJnasWNH+vjChQvl9XrTx2fMmKFIJKL6+vpx6zMwEI9pKORhHygAAAAAAPJqCZ5pDpyHRSIRlZaWZjzm9/vV0tIy4PFAICBJam5u1syZM0fdr2g0mtVPr9cr27Yz9qDq3S9JisVicpzMyhePxyPLspRMJpVIJDKOGYYhn88nx3EUi8Wy2vX5fDIMQ/F4PGuPLMuy5PF4+m2399+TiexqMNMyZRiG7KSd1V/DNGSaphzHkZ3MDlEsjzV0u7YtJ5kKYmw7qWTClmEYMq1htJtMSn2Kh0zTlGH2tGv36W9Pu3I0QOVbql3HtrP67Lbr2E7W9ZWRusZDnmufa1hkGQonHHXEbVX4TdlJW7aROu6+xz6fT1L2OJMkr9cr0zSVSCSyzmcsxuFg7Q41DmOxWPp4LBZLj8GJHt9uu9Lg13CwdkdzDcf7vZls13Ck49vto+M4/b52Isb3aN6boc51pNdwuO3m6xyRj+O777zFHJF5roUyR+Tj+HbbSiaTWefDHHFAvs8RfeV6jug7Zw3V7mS9hlNlfA91rmM5R/Tu/2S6hoU4vgv9c4TjODIMI+v5/cmrAGowPp8vPen2fiwSiQx43K2Gcp8zGrZta+fOnRmPlZSUqLa2VslkMuuYJB1yyCGSUlVZfb92bW2tSkpK1NnZqYaGhoxjoVBIM2fOlOM4/ba7YMECWZalxsZGdXV1ZRyrrq5WeXm5uru7tW/fvoxjgUBAJSUlkqT29va+eY7KykplWZa6I5Gsb6pgIKBgKKhkIqn2jo6MY6Zpqry8TJLU0dmZ9Q1XWlIij9ejaCSqsG1ICqk73K22cFR+v19FRSHZtq229vaM1xmSKiorJEldnV1K9PmGKy4uks/nUywWUzjcnXHM5/WquKRYjuNktStJtcVVkqRoLKa29sxrWBQKyR/wKx6Pq7PP9fV4PCotTV3D/totLyuTYRnq7u5WtNc3q5W0JHnVHreVSCTU0dEpBbySilVfXy/btjVv3jxJ0p49e7Iml9mzZysQCKi1tVWtra0Zx8rKyjRt2jTF4/Gs8WKaphYuXChJ2rdvX9YEMmPGDBUVFamjo0NNTU0Zx4qLizV9+vQBx/eiRYskSQ0NDers7JQk1dfXy7Is1dTUqLS0VF1dXdq/f3/G64LBoGbNmiVJ/bY7f/58eTweNTU1pdt1VVVVqaKiQpFIJOvulz6fT3PnzpUk7d69O2sczpkzR36/X62trWpra8s4Vl5erurqasViMe3atSvjmGVZWrBggSRp7969WZP7zJkzFQqF1N7enrVnXaHNEX6/X3PmzJGU2juv7w+quXPnyufzqaWlRe19xn9FRYWqqqoUjUa1e/fujGMej0fz58+XlLqGfX/IzZo1S8FgUG1tbelfJrjcXyAkEoms99wwjPQ4rK+vz5q3pk+fruLiYnV2dqqxsTHjWFFRkWbMmNHv3C5JCxculGEYamxsVDgczjg2bdo0lZWVKRwOZ1XWBgIBzZ49W1L/43vevHkyTVPNzc3q6DOXVlZWqrKyUpFIRHv27Mk45vV6C3qO6O7OnKPzYY5wv5fdeYs5IqXQ5ojS0lLV1NQokUhknWuu5gj3s1Z/1ffMEQfk+xyRb58j3LHkzlkSc4Sr0OaIfPsc0fvPzBGFO0fkw+eIRCKRsRJtMIbTd4bIA/fee69+8pOf6LHHHks/dtJJJ+ncc8/VunXr0o/9/Oc/1+bNm/XAAw/o5ptv1kMPPaTNmzenjzc1NWnVqlW67777tHz58hH345VXXpEkLV68OOPxfEscpcFT21gsppKSEv1lb4fCiey3eyIqoKb5LS2vDun5+k51xnJXAVVb7NOyioBeqO9SR2z8K6C6E45ebo3LlPT+Gr9kOyr2mvp/04snRQVUOBzW9u3btWjRIgWDQX4r0aPQ5oh8/M1lNBrVtm3btHTpUnk82b8rydffug11rlQ35H58d3d3Z8xbzBGZ51ooc0Q+ju9YLKatW7dq8eLF6evlYo44IN/niL5yPUe0t7dnzFlDtTtZr+FUGd9DnetYzhHuz8Nly5bJ5/NNmmtYiOO70D9H1NXVyTAMHX744Vmv6atgKqCOPPJIvfjiixkB1Guvvaaampr08U2bNqmlpUUVFanqmVdffVWS0s8ZLfcN7Ms0zQGPScr68NGbZVlZFVsuwzAGbXewdLG/dnsPDjfY6Y9pDbwE0jCMQV87aLumKaOnbdO0ZHkOlOcN2e4A18htd8BdzIzB+2SYpqwBRr9hGrLMUZ5rn2tYZDnyGHElHCmckEp8Vvo5fcfHYO+5x+Pp9x/h0sGNw8HaHWoc+ny+9KTl8/kynjuR47u30bY7XtewUOaI3sbrGo50fLs/aIczDkfSrutg2i2UazjcdvPtGo73+HbHVt95izli6HYlxvdg7bpjy7KsUZ/rVL+Grsk2vg9mjnBf23fOGqrdyXYNp8r4libuGvYONSbTNSzE8V3onyOGu/xOyrNNyAdz6qmn6oknnlBdXZ2kVHnnY489plWrVkmSVq5cqVAopNtvv11Sah3inXfeqcWLF6u6ujpn/cbUZhiGSn2pb7O2OHdjBAAAAABMTQVTAbV69WqtWLFCa9eu1YknnqinnnpKlZWVOuussySlUrj169fr2muv1bZt29TW1qYXXnhBt9xyS457jqmu1GeqOWqrPWZLRbnuDQAAAAAAE69gKqA8Ho9uv/12nXnmmaqrq9Nxxx2nu+++W8XFxennnHPOObr55pvV0dEhwzC0ceNGrV69Ooe9BqRSb6q0sSOWvccWAAAAAABTQV5WQJ1xxhk644wzsh4PBoPasGHDoK9ds2aN1qxZM15dA0asyGvINKSEk9qUvHh4NwgAAAAAAGDSKJgKKKBQmYahEq+7D1T2Hf8AAAAAAJjsCKCACVDaE0C1xwigAAAAAABTDwEUMAHcO+ERQAEAAAAApiICKGAClHhNGZJitqPuBCEUAAAAAGBqIYACJoBlGiryGpKkligBFAAAAABgaiGAAiZIqdeSJLXGkjnuCQAAAAAAE4sACpgg7j5QLVECKAAAAADA1EIABUwQN4DqSrAPFAAAAABgaiGAAiaI1zQUtFL7QO3sjOe4NwAAAAAATBwCKGACuVVQu7oSOe4JAAAAAAAThwAKmEDpAIoKKAAAAADAFEIABUygUm/qW25fOKFY0slxbwAAAAAAmBgEUMAE8luG/JYhW9KeMFVQAAAAAICpgQAKmECGYagivQyPfaAAAAAAAFMDARQwwSr8liTp3c5YjnsCAAAAAMDEIIACJlhVIBVA7e5MKJq0c9wbAAAAAADGHwEUMMFCHlPlPlO2pPe4Gx4AAAAAYAoggAJyYEGpT5L0TjsBFAAAAABg8iOAAnJgQYlXkrSjgwAKAAAAADD5EUABOTC3xCtDUnM0qdZoMtfdAQAAAABgXBFAATkQsEzNKvJIogoKAAAAADD5EUABOTK/pGcfqI5YjnsCAAAAAMD4IoACcmRB6YF9oGzHyXFvAAAAAAAYPwRQQI7MCHnktwxFk472hRO57g4AAAAAAOOGAArIEdMwNL/nbnhvt7MPFAAAAABg8iKAAnJoQc8+UDvYBwoAAAAAMIkRQAE55FZA7e5KKJK0c9wbAAAAAADGBwEUkEPlfksVflOOpPc6WIYHAAAAAJicCKCAHHOX4b1DAAUAAAAAmKQIoIAcW1CaWob3Tjv7QAEAAAAAJicCKCDH5hZ7ZUpqjdlqiSZz3R0AAAAAAMYcARSQY37L1MwijyTuhgcAAAAAmJwIoIA8sKA0tQ/U9jb2gQIAAAAATD4EUEAeOLTM3Yg8pmjSznFvAAAAAAAYWwRQQB6YFrBU4TeVdKS326mCAgAAAABMLgRQQB4wDEOLy/ySpLrWaI57AwAAAADA2CKAAvLEkvKefaDaY0rYTo57AwAAAADA2CGAAvLEjJBHJV5TcTu1FxQAAAAAAJMFARSQJwzD0OKeKqi6VgIoAAAAAMDkQQAF5JEl5al9oN5qiynpsAwPAAAAADA5EEABeWR2kUchj6FI0tF7HdwNDwAAAAAwORBAAXnE7HU3vK1tLMMDAAAAAEwOBFBAnnH3gdraGpXNMjwAAAAAwCRAAAXkmXnFXvktQ10JR7u7ErnuDgAAAAAAB40ACsgzlmnokFL3bnjRHPcGAAAAAICDRwAF5KEl6WV4MTkswwMAAAAAFDgCKCAPLSj1yWtK7XFb+7pZhgcAAAAAKGwEUEAe8pqGFqWX4XE3PAAAAABAYSOAAvLUknK/JOn1Zu6GBwAAAAAobARQQJ46tMyngGWoPW5rR0c8190BAAAAAGDUCKCAPOUxDR1WmaqCerkpkuPeAAAAAAAwegRQQB47siogSdrWFlM4bue4NwAAAAAAjA4BFJDHaoIezQh5ZDvSqy3RXHcHAAAAAIBRIYAC8twRVQeW4TlsRg4AAAAAKEAEUECeW17hl9eUmiJJ7Qknct0dAAAAAABGjAAKyHN+y9SS8p4qqEY2IwcAAAAAFB4CKKAAuJuRv9EaVTTJZuQAAAAAgMJCAAUUgNlFHlX6LcVt6c2WWK67AwAAAADAiBBAAQXAMIyMzcgBAAAAACgkBFBAgVhRGZApaU84oYZuNiMHAAAAABQOAiigQBR7TS0q80miCgoAAAAAUFgIoIAC8r6ezci3NEXVnWAzcgAAAABAYSioAOqpp57SkiVLsv6LRqOSpC1btuiss87SUUcdpXXr1mnv3r057jEwthaWejUtYClmO3qhgSooAAAAAEBhKKgA6vXXX9fhhx+u3/3udxn/+Xw+7dq1S+vWrVMwGNRNN92k2tpaXXzxxYrH47nuNjBmDMPQqukhSdLzDd2KJZ0c9wgAAAAAgKF5ct2BkXjjjTd05JFH6vDDD8869otf/EJer1cbN25UKBTSqlWrdMopp+iRRx7RaaedloPeAuNjSblPFX5TLVFbLzV267jaUK67BAAAAADAoAqyAqo/zzzzjE4++WSFQql/jFuWpRNPPFHPPPPMRHYRGHemYegDPaHTX/Z3K2FTBQUAAAAAyG8FE0B1dHTo3Xff1Z133qljjjlGxx57rL7yla+ooaFBkrR//34tWbIk4zUzZ87Ujh07ctBbYHytqPCr1GuqK+HolWb2ggIAAAAA5LeCWYL36quvynEcHXbYYbr88su1f/9+/fCHP9T69ev1m9/8RpFIRKWlpRmv8fv9amlpOeiv7W5y7jJNU16vV7Zt97vHlN/vlyTFYjE5TmZ1isfjkWVZSiaTSiQSGccMw5DP55PjOIrFYlnt+nw+GYaheDwu2868A5plWfJ4PP222/vvyUQyq13TMmUYhuykndVfwzRkmqYcx5GdzL7rmuWxhm7XtuUkDUmSbSeVTNgyDEOmNYx2k0mpT4GPaZoyzJ52+1T/uO3K6XltdsuSJMe2s/rstuvYTtb1lZG6xkOe6zCuoW2kjrvvsc/nk5Q9ziTJ6/XKNE0lEoms8zmm2qfH90b0f/XdWlJsyDKMjOPDGYf9teuO76HGYSwWSx+PxWLpMTjR49ttVxr8Gg7W7mi+lwd7bwptjpiIazjS8e320XGcfl87EeN7NO/NUOc60ms43HbHaxzm4hqO9/juO28xR2Sea6HMEfk4vt22kslk1vkwRxyQ73NEX7meI/rOWUO1O1mv4VQZ30Od61jOEb37P5muYSGO70L/HOE4jow+/xYdSMEEUCtWrNDvf/97LVu2LP3Y9OnT9elPf1p1dXXy+XzpSdnl8/kUiRxcdYht29q5c2fGYyUlJaqtrVUymcw6JkmHHHKIpFRVVt+vX1tbq5KSEnV2dqart1yhUEgzZ86U4zj9trtgwQJZlqXGxkZ1dXVlHKuurlZ5ebm6u7u1b9++jGOBQEAlJSWSpPb29r55jsrKSmVZlrojkaxvqmAgoGAoqGQiqfaOjoxjpmmqvLxMktTR2Zn1DVdaUiKP16NoJKqwbUgKqTvcrbZwVH6/X0VFIdm2rbb29ozXGZIqKiskSV2dXUr0+YYrLi6Sz+dTLBZTONydcczn9aq4pFiO42S1K0m1xVWSpGgsprb2zGtYFArJH/ArHo+rs8/19Xg8Ki1NXcP+2i0vK5NhGeru7la0zzdrMBhQMBhUIpFQR0enFPBKKlZ9fb1s29a8efMkSXv27MmaXGbPnq1AIKDW1la1trZmHJtbWqaQx1RbzNYz79RrnvfA5GOaphYuXChJ2rdvX9YEMmPGDBUVFamjo0NNTU0Zx4qLizV9+vQBx/eiRYskSQ0NDers7JQk1dfXy7Is1dTUqLS0VF1dXdq/f3+f6xDUrFmzJKnfdufPny+Px6OmpqZ0u66qqipVVFQoEolk3d3S5/Np7ty5kqTdu3dnjcM5c+bI7/ertbVVbW1tGcfKy8tVXV2tWCymXbt2ZRyzLEsLFiyQJO3duzdrcp85c6ZCoZDa29vV3NyccazQ5gi/3685c+ZIknbt2pX1g2ru3Lny+XxqaWlRe5/xX1FRoaqqKkWjUe3evTvjmMfj0fz58yWlrmHfH3KzZs1SMBhUW1tb1i8LAoGApNQHor7vuWEY6XFYX1+fNW9Nnz5dxcXF6uzsVGNjY8axoqIizZgxo9+5XZIWLlwowzDU2NiocDiccWzatGkqKytTOBxWfX19Vn9nz54tqf/xPW/ePJmmqebmZnX0mUsrKytVWVmpSCSiPXv2ZBzzer2jniPKyso0bdo0xePxrD5N1BzR3Z05R+fDHOF+L7vzFnNESqHNEaWlpaqpqVEikcg611zNEe5nrUgkwhxRwHNEvn2OcMeSO2dJzBGuQpsj8u1zRO8/M0cU7hyRD58jEomEvF5v1vP7Yzh9Z4gCEo1GdcQRR+j666/XTTfdpHPPPVfr1q1LH//5z3+uzZs364EHHhhV+6+88ookafHixRmP51viKA2e2sZiMZWUlOgvezsUTmS/3RNRATXNb2l5dUjP13eqM5a7CqjaYp+WVQT0Qn2XOmK5qYAq9pr6f9OLD7oCyjRNPd8U15N7w6r0mVq7KJSRPE/EbyXC4bC2b9+uRYsWKRgM8luJHoU2R+Tjby6j0ai2bdumpUuXyuPJ/l1Jvv7Wbahzpboh9+O7u7s7Y95ijsg810KZI/JxfMdiMW3dulWLFy9OXy8Xc8QB+T5H9JXrOaK9vT1jzhqq3cl6DafK+B7qXMdyjnB/Hi5btkw+n2/SXMNCHN+F/jmirq5OhmEMuF93xtcf8hl5YufOneru7s4Ig9yUNhaL6cgjj9SLL76YEUC99tprqqmpOeiv7b6BfZmmOeAxSVkfPnqzLCurYstlGMag7Q6WLvbXbu/B4QY7/TGtgbcEMwxj0NcO2q5pyuhp2zQtWZ4DIcmQ7Q5wjdx2B9zFzBi8T4Zpyhpg9BumIcsc5bkO4xq6z+k7PgZ7zz0eT7//CD96mqX/29+t5pitdyOGlpRntzHYOByoXbe/Q41vd9Ly+XwZz53I8d3baNs9mO/lwa5hocwRvY3XNRzp+HZ/0A5nHI6kXdfBtFso13C47ebbNRzv8e2Orb7zFnPE0O1KjO/B2nXHlmVZoz7XqX4NXZNtfB/MHOG+tu+cNVS7k+0aTpXxLU3cNewdakyma1iI47vQP0cMd/mdVECbkP/mN7/Rt7/97YzH7r//fknSkUceqVNPPVVPPPGE6urqJKXKPx977DGtWrVqorsKTBi/ZeqY6tRSpT/vDStZuAWNAAAAAIBJrGAqoM4880zddddduuKKK7Rq1Sq98cYb+vWvf62PfvSjWrJkiRYtWqQVK1Zo7dq1OvHEE/XUU0+psrJSZ511Vq67DoyrY2uCeqkxosZIUi80RPT+mmCuuwQAAAAAQIaCqYBatGiRfvrTn+rNN9/UN77xDT3++OO64oor9MMf/lBSqjTt9ttv15lnnqm6ujodd9xxuvvuu1VcXJzjngPjK+gxdcLMIknSU3vD6oxn76kFAAAAAEAuFUwFlCQdf/zxOv744wc8HgwGtWHDhgnsEZAfjqjy669NEe0NJ/T47i59fH5JrrsEAAAAAEBawVRAARiYYRg6ZU6qCuq1lqje68y+GwIAAAAAALlCAAVMEjNCXr2vKrUh+cM7O9mQHAAAAACQNwiggEnkIzNDCliGGiJJvdgQyXV3AAAAAACQRAAFTCpsSA4AAAAAyEcEUMAE85qGnHFcHndElV8zQh5FbUeP7Ooc8GuNZx8AAAAAAOitoO6CB0wGHjO1afibLRGFE+MTAs0t9mhfOKE3W2Myd3RodrE343jIY2hpRWBcvjYAAAAAAH0RQAE5Ek446kqMzxI5j2lobrFH73Ym9EZrTF7LULG3d8EjxY8AAAAAgInDv0KBSWpWkUcVflOOpLrWmBI2S+4AAAAAALlBAAVMUoZh6NAyn3ymoUjS0VvtcfZ9AgAAAADkBAEUMIl5TUNLy30yJDVFktoXTua6SwAAAACAKYgACpjkSnym5pWkNiF/pyOuzvj47DsFAAAAAMBACKCAKWBmyFJlz35Qb7REFR6nzc8BAAAAAOgPARQwBbj7QQU9hmK29EJDRB1xluMBAAAAACYGARQwRXhMQ4dV+BWwDHUnHf32rXYqoQAAAAAAE4IACphC/Jahwyp88luGGiNJ/fatNkWShFAAAAAAgPFFAAVMMQGPqf9XHVDIY6i+O6nfbW9XLOnkulsAAAAAgEmMAAqYgoq8pv5xUZn8lqFdXQn97u12RViOBwAAAAAYJwRQwBRVG/LorEWl8pmG3uuM685tbWqNsjE5AAAAAGDsEUABU9isIq/OObRMxV5TjZGkfr21VXu74rnuFgAAAABgkiGAAqa42pBHaxeXqSZoqSvh6K5tbdraGs11twAAAAAAkwgBFACV+iydc2iZFpZ4lXCke9/p0LP1YTkOm5MDAAAAAA4eARQASZLfMnXmolIdVR2QJD2+J6zfvd2ucJzNyQEAAAAAB4cACkCaaRg6ZXaRTpldJMuQtrfH9cs3W/VuRyzXXQMAAAAAFDACKAAZDMPQ0dOCOn9JuaoCljoTtv79rXb9z54u2SzJAwAAAACMAgEUgH7VBD06f3G5jqjyS5Keru/WnVvb1BhJ5LhnAAAAAIBCQwAFYEA+y9Dpc0v0t/NL5DcN7QkndPubrfrffWElqYYCAAAAAAyTJ9cdAJD/llX4NavIowd3dmp7e1x/3hvWmy1RnVTLFAIAAAAAGBoVUACGpdRn6cyFpfr4vGIFLUMNkaT+492o6owKxWyqoQAAAAAAAyOAAjBshmHosMqALlpWoeUVfjmS3jNK9eu3I3q1OSKHZXkAAAAAgH4QQAEYsZDX1N/ML9HfzvaryEioK+noD+926q5tbaoPs0k5AAAAACATARQwBXlNY0yqlZZNK9GlR9TqIzNC8prSrq6E/q2uVQ/u7FRX3B5WG1RNAQAAAMDkxw7CwBTkMVPL6d5siSicGH0AlEgk1NraqvLycq2sCWprW0z7upN6qTGiLU0RzS/xal6xVx7T6Pf1IY+hpRWBUX99AAAAAEBhIIACprBwwlFXYniVSv2Jx5Nq7Y7KU5SU12tqUZlP1cGkdnTE1Rl3tL09rvc645pb7FVt0JJh9A2iKMIEAAAAgKmAf/0BGFNlPktHVPq1pMyrgGUobkvb2+N6sTGq/d0JltwBAAAAwBREBRSAMWcYhqqDHlUGLO0LJ7WzM65I0tG2trh2diY0p9ijaQEr190EAAAAAEwQKqAAjBvTMDSzyKNjpgU0r9gjj6F0EPViY1S7u+JK2FREAQAAAMBkRwUUgHHnMQ3NLvZqesijfeGEdnclFEk6eq0lph0dzTqqOqijqgMq8pKJAwAAAMBkRAAFYML0DaL2dSfVlXD01L6wnqkPa3mFX8dMC2p6iKkJAAAAACYT/pUHYMK5QdShZT6FvJae29+tveGEXmmO6pXmqKYFLK2o9Gt5pV8lXvaKAgAAAIBCRwAFIGdMw9DyCr+WV/i1uyuu5/d3a2tbTA2RpB7fE9YTe8KaV+LV8gq/FpX6WKIHAAAAAAWKAApAXphV5NWsBV5FErbeaI3qteaodnUltKMjrh0dcUnS9KBHC0u9Wljq08wij0zDyHGvAQAAAADDQQAFIK8EPGbPpuRBtUSTeq05qm1tUdV3J7WvO6F93Qk9Xd8tv2loesijGUUezQil/ivxmjIIpQAAAAAg7xBAAchbFX5Lx88I6fgZIXXGbb3dHtPb7TG90xFXNOno3c643u2Mp58f8hiq9FuqDFip//stlfstlXpN+S2DcAoAAAAAcoQACkBBKPaaOqIqoCOqArIdR42RpPZ2JbQnHNfecEIN3UmFE47CiYR2dSWyXu8xpBKfqRKvpRKvqRKvqWKfmf5ziddUkddkWR8AAAAAjAMCKAAFxzQM1QQ9qgl6dKQCkqS47agpklRzJKnm6IH/WqNJRZKOEo7UErXVErUHbNdQKugqdkMpn6kK/4FqqlIfARUAAAAAjAYBFIBJwduzJ9T0UPa0FrcddcZtdcRtdcSSB/4ct9URs9N/d6T043v7+RqmkVoWWBOwVBtKBWC1QQ935wMAAACAIRBAAcgZr2nIcZxx35vJaxqq8Fuq8FuSvFnHHceRIymccNQRT6ojlgqh2mO2mqNJtfT8l3SkpkhSTZGk3miNpV9f7DE1s8ijWUUezS72qjbokccc+TlNxLUAAAAAgFwggAKQMx5TMgxDb7ZEFE44OelDhd/UglK/6vr0wZBU5jNV5jO1oMQrx3EUSaYqqdyKqfa4rXDCUWfC1ta2mLa2pUIpU1Jpr+V75X5T1hDBUshjaGlFYBzPFAAAAAByhwAKQM6FE466EgPvzTSegh5jRH0IeU2FvKZqev6etFOva48dWNYXt6XWmK3WmK13OuIyJJV4U2FWmT+1v1T2XlIs4wMAAAAweRFAAcBBsExDpT5LpT5LktKVUu0xW209/8VsR+09FVM7u1JRU0lPdVWZL7XpOQAA/3979x4XZZX/AfzzzJW7Il7A1EwXMcULtrmI7ippmq6WWt5IMTH5lSJeMot0ve1Pd802U7NM8n778cJclUIry1LDTNcUEVJDUVgVUxCEgbk+vz+GeZiBAQZluPV5v17zGuac85w5zzPPnGG+c855iIiIGjMGoIiIapAgCHBVCHBVyNDKrTQglScFpIzQmyA9BkoWN1fJoTWKeNxTCV83Ba+2R0REREREjQoDUERETmQdkPItCUgVWQJSWiPydCYYROCe1ojvb2mAW4BKJqCthwLtPJR43FOFlq5yBqSIiIiIiKhBYwCKiKgWCYIAN4UAN4UMfm4KiKIIjUFEkUGECcCNAj20RhHp+Xqk5+sBaKCWC2jnoURrNwX83BXwdVPARc5pe0RERERE1HAwAEVEVIcEQYC7UkBLVxl6tXCFSRRxp8iI6w90uFGgR2aBAVqjiCt5OlwpucoeADRTy+HnpkBLVzmauyjQwlUOT6UMAkdKERERERFRPcQAFBFRPSITBPi6mUc5/akVYBJF3NYYkFmgxy2NAbc0BuTpTMjRGpGjNeJibum2armAFi5yeKvlaKqWw1slR1O1DE3VcrjKBQaniIiIiIiozjAARURUj8kEAa3dlWjtrpTSNAYTbpcEo34rMuBusRH3io3QGkVkFRqQVWgoV49aJkjBqKYqc5DKSyWDp1IGT5UMahkDVERERERE5DwMQBERNTBuChk6eKnQwUslpRlMInK0RvxWZMB9nQm5WiPua424rzOhQG+C1iQiu8iI7CKj3TpVMkEKRlnuvZRyq79lUHMUFRERERERPSQGoIiI6gGlTIAoig8d4FHIBLR0VaCla/luXW8SkVcSjMrVGnFfZw5O5etMeKA3odgoQmcScU9rxD2t/QCVuY2AZ5mglDlgZU7zUsngwiAVERERERHZwQAUEVE9oJCZFyT/JbcYGoPotOeRC4CPWg4ftVxKM5pEFBtFACKaqhV4oDcHpvJ1RvPfOhOKjCL0JkhrT1W4HwKkoJSXSgYPhQxuShncS678566UwU0hg5tCgKySQJUgCHB1dWUwi4iIiIiokWAAioioHtEYRBQaTLX/xALQVKVAYDO13aCP3iSioExQKr/k/oHenKYxiDCIQK7WhFxt1fvgqhDgrjAHpFzkAlRyASqZ+aaWC1C1eAK/agSotFpzulyAQhAgF8xrY8kESH+XTauJwNWjjEgjIiIiIiJbDEARERGA6o3CUssFtJDL0cJFDsC8QLpRFKE1mkdTFRtEaI3mtad0JVP8pPuS2FSRQUSRwQig4hFVj0IGQBAAAYCsJChlSZMJgAyC+W8prTRfKRPgrZZDLgiQy2C+L9lOYQl0ycxplryyZaV7q3LS9jZ1MshFRERERI1fowxAbdq0Cdu3b4dOp8O4ceMQHR0NmUxW180iImoQHnUUllpuHsFkDu2UJ4rm6Xx6kyjdDKJ5KqBaLsBTJcfNAh3yNcVQqNQwQYBRFGEUAZMoQhQBESi9r6AdJlhlirBTsvIgm72rCTqDANuRXHIpQGUbzJJZPVbIBChKAltK63uZAIVVvvS3IEAhQ8k2ApQlATDzNpBGllU04utRR4OJoii9ZibpXiwJDpoDf7JKnp+IiIiIGr5GF4DaunUrVq1ahaioKAQGBmL58uVwc3NDZGRkXTeNiIhgDjKo5IBKXj7Y0NxFjie9XXD61gNc0+SguZcblEplpfVJwQ2gTHBKhKlssKok8GF5bJLubQNbCpkAPzeFFPQyipCCYEZRhNEEm6CYUTRfidBUSbnS8mXaD8BgeWIppW7ISkaEyS1Dx2B+rJCZH9gLD0nHDyXH0+oYW4JN1dmj0mBUaXBKITMHy5QySFM1lSU3lbzk3nIrCYCqrf5WyQWoZTIoH/G3qPoyLbO+tIOIiIioOhpVAEqn02H9+vUYP348oqKiAAAuLi6IiopCREQEFIpGtbtERARzQEv6Km7znfzhv6C7K2To1cL1EVpVMdEqEGUdnDKVjAIrG+y6fF8LjcEygshczgRLsMf6ccnfJUExSxnrx6JYplyZtlnSDGKZkJGx9oJilnbbjFqroecXYL6ao0zWBj9dLYJSrpVGlMkF84gxyygyucw86sw6MAkAeTojDKbSoCesRuKJVsfZNvBpL710VJgl2GaZLmqeCmp+fimtpH0ucgG+bkpppKH5JoNaLsCl5LGrQgYFR5QRERFRPdOoIjIpKSnIz8/HiBEjpLTg4GAAwIULFxAUFFRXTSMiogZEKROcNspEKAkklDyqsnxOsdFpC9OLViOXygauLDyVMnT0Utk9FiJECBCs1tkqXVvLXlrpulwlwR2Ujj6zCZBJf5sfG0RAZzRJUzd1JTe9UbR5rDOab5a1x7RWf1uCROY1yOQo1ouA3jnrj1VbNaeIZhRUPT1ULgCuchlcFObAlKtCBle5ABfpXpDyre+VMgauGjJLgNlY8r6yvN8s70npHnydiSxE6X1jHsEL2Pvc4nuGHp5ltLzlByig9FNeLRN+V+dWowpA3blzBwAQEBBgk+7n54fr168zAEVERA6pzoLszuKtluEJL7VTn0OwGnVTklKujI+LHH7uynpxLKzbIIP1emOVs3y5MIgitHoD7uc/gLuHJwSZHCaUjgizfGm3fAkRxZIjIgBuChl8XBT4b4EeOpMopVvubL7clxxX2zT7eeb2VT5F1PrLkUwAvNVyc3DNaFn43yQF27QGcwDPKAIFBhMciFWVYz2d0Xrao8pqyqNlDTLrxfYta4lZL8hvGcVlOV6yKoIhNuWtX8OqXuPK8qrY2F52RdNKS18XUcqzBFKLtQb8F+4w3jdAXlgkBVAtIx5L/7YdBVlhOVh9KbYKLJnKbVs6arK6SkfYWV1JtCRAbFl3rvzfpRdlKL36qFA6hVcm2EzntbeN9ZVLHXkeocwZUfb8KPvdrVx+mT/K55epv4JupapzSSrnwMRjuyXE8g+LtSYUQIl7WhMKBftvaEea5XjbH45omXot/aBQ5scFO+8Z6/eYdD7D9r1S2XvgYd439rapzj6XvZiJTFbmPSMTbM59ucxcTl4mX2bVd9q8Xyx9J0rLS+8XlJaXlzy/XFaaB5Seu5ZT2PazqvTEFgAUF5vwAErcLTbBRTCU28b6bVD2PVL2HLf+HUUsm279WKw4z6ZeO6+LTb0V1GP5Ucv6XCg9L8ueB+af0Ux2+lKj1bljNNkux2B9ftkvW76eys4xfy8lXuzYpJISjUujCkAVFxdDLpfDw8PDJl2tViMnJ6fa9en1eoiiiOTkZJt06wilaKc3t+RXllfT2zpSr8IkQmbn7LfuTspmV5ZnnV9ZHgAUC8CFLAEwiXAVa67e6ra3bDuqs21NtamiY1HT+1pZvTV1HFwhwgMmyHIKUfajyZE2WbfDrZIPJGe+No4ci9p4bewdi9p8b1R2LGqjjyh7TshMItrDCFmOxs6Wzn9tLO3Ql6zrVJ1ta6pN9wXggqz0nKjNPsJe/205Fs46DpVtazkWelNpEKC69cpgvl6jEiLcTCbI9PdQVb9lnScTzFP1HrdzTtTmayMTAKXG/v8KgiAAitKglb11uESUWfPMKl+qrRoD7px3HcuGyRuA9tY1u3kCGtk/3tUgAqidyzo0TjIAGVfT67oZdUKGii5p0niZUK1u+JHIAVy/9vs8t+yxnG+Vrz5as1T5Ai5cEKr1/b6+xSP0er3Do7ga1eegSqWCXC4vl65UKlFcXFzt+iwHsbKD+bB5dbGtUubYSeFM9aENQP1oR+Nog2D+aafO2/Ho6kMbgPrRjvrQBpVMAGR1/xFVH45FfWgDUD/aUTNteLR+qz4cB4uKPu8FS55g/nJhvwQRERHVF86IOdRWPEIQHJ9GWPf/3dcgHx8f6HQ65ObmwtvbW0rPy8uDm5tbtevjlD0iIiIiIiIiokfXqEY0dunSBUqlEmfPnpXSCgoKkJGRgZYtW9Zhy4iIiIiIiIiIfr8aVQDK09MTffv2xebNm2E0mlck2L17N0RRlK6GR0REREREREREtUsQ7a0u1YClpKQgLCwM/v7+aNOmDb788ktMmjQJCxYsqOumERERERERERH9LjW6ABQAXLp0CWvWrMHt27cxbNgwTJkyxe7i5ERERERERERE5HyNMgBFRERERERERET1R6NaA4qIiIiIiIiIiOofBqCIiIiIiIiIiMipGIAiIiIiIiIiIiKnYgCKiIiIiIiIiIicigEoIiIiIiIiIiJyKgagiIiIiIiIiIjIqRiAauQ2bdqE/v37o0+fPvjggw9gMpnquknUAOXm5mLu3Lno1asXAgMDMWnSJGRlZUn5/fr1Q0BAgM1tz549ddhiaihOnDhR7twJCAiAVqsFACQnJ2Ps2LEICgpCREQEbt26Vcctpobg1KlTds+rgIAATJo0CQD7LaqeH374AYMGDSqXXlUfVVhYiHfeeQe9e/fGs88+i0OHDtVWk6mBqOjc2rVrF0JDQ9GlSxf85S9/QUJCgk3++++/X64PGzt2bG01mxqAis6tqj7/2G+RMynqugHkPFu3bsWqVasQFRWFwMBALF++HG5uboiMjKzrplEDM3v2bFy9ehUzZsyAXC7Hxx9/jOjoaOzbtw93797Fb7/9hk8++QQ+Pj7SNo899lgdtpgaitTUVHTr1g2LFy+2SVepVMjKykJERAS6du2KtWvXIjExEZGRkdi3bx+USmUdtZgagq5du2Lv3r3l0ufOnYsuXbqw36JqSU9PxxtvvAE3NzebdEf6qDfffBOnT5/GggULYDKZEBMTA19fXwQFBdXFrlA9U9G5tX//fvzv//4vxowZg549e2Lfvn2YP38+/P390blzZwDmz8/x48fjpZdekrYrWw/9flV0bjny+cd+i5yJAahGSqfTYf369Rg/fjyioqIAAC4uLoiKikJERAQUCr705JikpCQkJycjISEBbdq0AQC4u7tj4cKFyMzMxLVr1+Du7o7+/ftDEIQ6bi01NGlpaejRowe6detWLu/TTz+FUqnExx9/DDc3N4SEhGDw4ME4cuQIhg4dWgetpYbCw8Oj3Dl17Ngx3L17F5GRkbh48SL7LXJIcnIypk2bhrZt2yInJ8cmr6o+Kjk5Gd988w1Wr16NYcOGATAHrT7++GNs3LixLnaH6pGKzi2j0Yi1a9di3rx5mDp1KgBgyJAhCAkJwVdffSUFoNLS0jBmzBi7n5/0+1ZZv5Wamlrp5x/7LXI2TsFrpFJSUpCfn48RI0ZIacHBwQCACxcu1FWzqAHq1q0b4uPjpeATAHh7ewMA9Ho9UlNTERgYyC9x9FAsI6DsOXnyJAYOHCj9eieXyxEaGoqTJ0/WZhOpkVi3bh0mTZoEHx8f9lvksNOnT+Ott95CWFhYubyq+qikpCS4urri2WeflbYZNGgQTp06BaPRWDs7QPVWReeWIAj48MMPpenCgPmHP5VKBb1eDwDIzs7G3bt3GXwiuyrrt6r6/GO/Rc7GAFQjdefOHQBAQECATbqfnx+uX79eF02iBsrT0xN/+MMfbNKOHTuGZs2aoX379rh48SJu3ryJZ555Bt27d8dLL72E48eP11FrqSF58OABrl+/jp07d+Kpp57C008/jXnz5uG3334DYO7HyvZhrVu3RkZGRh20lhqy06dPIy0tDeHh4QDAfoscNmXKFIwePdpuXlV91J07d9ChQwebKcN+fn4oLi5Gdna209pMDUNF55ZMJkOXLl2gUqmktJ9//hn5+fno1asXAHMfplAoMGfOHPTo0QP9+/fHBx98IAWo6Petsn6rqs8/9lvkbAxANVLFxcWQy+Xw8PCwSVer1eWGYhJVR2ZmJvbt24dXXnkFMpkMycnJ8PLywrx587B+/Xo0b94cr7/+OtLT0+u6qVTPpaSkQBRFaf2Ud955B6dOncKsWbMAmPsxLy8vm23UajVyc3PrornUgO3YsQNDhgxB8+bNAYD9FjlMJqv4X+Wq+ih7+S4uLgDA/8Wo0nOrrLVr16Jjx47o378/AHMfplKpMGjQIGzYsAEvv/wyPv30U6xfv95ZzaUGpLJzq6rPP/Zb5GxcCKiRUqlUkMvl5dKVSiWKi4vroEXUGFgvRGgZSfDRRx/h8ccfl4Kdffr0weDBgxEfH4+33367LptL9VxgYCD279+PJ598Ukrz9fXFK6+8gkuXLtntx1QqFfswqpY7d+7gm2++wfbt26U09ltUE6rqo+zlW0YVsB8jR8XHxyMpKQmxsbFSYGHChAkYNWoUHn/8cQDmPkyj0SAuLg7R0dHVCm7R70tVn3/st8jZ2Ds1Uj4+PtDpdOVGCuTl5fEKGfTQYmNjcfbsWbz77rtwdXUFYL7alPVIO4VCgR49eiAtLa2umkkNhKenp03wCYA0vSAtLQ0+Pj7SdGKL+/fvS+cekSMSExPRokUL6dwC2G9Rzaiqj7KXn5eXB4BXKyPHXLt2Df/4xz8wYcIE/OUvf5HSW7VqJQWfLHr16oWcnBxOk6JKVfX5x36LnI0BqEaqS5cuUCqVOHv2rJRWUFCAjIwMtGzZsg5bRg3VyZMnsWbNGsyePVv6IqfRaOwuCJ2XlwetVlvbTaQGJjMzE5cvX7ZJu3//PgDzlTx79Ohh04cB5rUL2IdRdRw6dAjPPvustOAq+y2qKVX1UT169MC1a9dsfgxMSUkBAPZjVCWNRoPo6Gi0a9cOMTExNnnJycm4e/euTZolSMB+jCriyOcf+y1yNgagGilPT0/07dsXmzdvlq5YsHv3boiiKF0Nj8hRv/76K2bNmoUBAwZg2rRpUnpWVhamTJlisyh0VlYWzpw5g549e9Z+Q6lB2b17N5YsWWKTduDAAQDmf4CGDBmC7777DpcuXQJgPre+/fZbhISE1HZTqYHKzs7GuXPn8Mwzz0hp7LeoplTVR/Xp0wdubm7YsmULAEAURezcuROdOnWS1iMjssdoNGL27NnIzs7GunXroFarbfKXLFmCnTt32qQdOHAAzZo1Q7t27WqzqdSAOPL5x36LnI1rQDViM2fORFhYGMaOHYs2bdrgyy+/xKRJk9CsWbO6bho1IHq9HtHR0RAEAeHh4dKvIADQpk0bPP3005g+fTrCw8Oh1+uxZcsWuLq6YvLkyXXYamoIXnrpJezatQvz589HSEgI0tLSsGPHDjz33HMICAhAx44dERgYiPDwcISGhuLEiRNo1qwZxo4dW9dNpwbi5MmTkMvl6NGjh5TWqVMn9ltUIwYNGlRpH6VUKjFr1iz8/e9/x5UrV5CXl4f//Oc/XCiaqrRx40Z8//33mD17Nu7fvy+NDnZ3d0eHDh0wceJELFq0CHK5HG3atMFXX32F48ePY9GiRVz/iSrkyOcf+y1yNkEURbGuG0HOc+nSJaxZswa3b9/GsGHDMGXKFLuLkxNVJDU1FaNGjbKb949//AP9+/fHsmXLcOzYMahUKvTr1w/z589Hq1atarml1BCdOHEC7777Lq5duwY/Pz+EhYVh0qRJUj9VVFSEDz/8EElJSejQoQPefPNN+Pr61nGrqaGIiYnBpUuXsG/fPpv0e/fusd+iatm3bx8+/PBDfPvttzbpjvRRX3/9NbZt2wZRFDF16lSbEXlE9s6t559/XhpZZ613797YsWMHAGDr1q3YsmULcnNz4e/vj+joaOkqeUSA/XPL0c8/9lvkLAxAERERERERERGRU3GMJhERERERERERORUDUERERERERERE5FQMQBERERERERERkVMxAEVERERERERERE7FABQRERERERERETkVA1BERERERERERORUDEAREREROVFxcTH0en1dN4OIiIioTjEARURERE6Tnp6OmJgY6HQ6Ke3BgwfIzc2FRqOBVqstdysqKkJeXh7u3btXree6desW/vWvfyErK6ta2x05cgR79+6tMP/SpUvVqs/ahQsXEBISgn379j10HY76z3/+43BZnU6HQ4cOPdTz6PV6jBkzBvHx8Xbz8/LyMHbsWOzZs8fhOkVRhFarhclkeqg2AUBOTg4yMjIeensiIiJyLgagiIiIyGkuXryIf//734iOjobRaAQALF++HMHBwQgKCkL37t3L3Xr27InevXtj2LBhUj13795FeHg4fvnllwqf69ChQ9i4cSNOnTpVrTbGx8fjo48+spuXmJiIF154AZ988km16rTo0qULXFxcEBcXZ5NuMpmg0+lQVFT0UPWWtWzZMkRERODmzZsOld+6dStmz56NgwcPVvu5Dh8+jOTkZBgMBpt0k8kEk8mExMREnD9/Hl5eXigsLERhYSEKCgqQm5trE1S8ffs2du3aBQC4fPkyunfvjqNHjwIAVq9eLb3Wq1evxpQpU5Cbm1tpuzZt2oRx48YhJSWl2vtEREREzqeo6wYQERFR4/X8888jPz8ff//737F8+XIsWrQIkyZNwtChQ6FUKiEIAnQ6HSIjIzF27Fj89a9/hclkgsFggCiKUj1FRUW4d+8eJkyYgPfffx+hoaE2zyOKIuLi4qBSqbBt2zaMGjUKMpljv7OpVCqoVKpy6T///DNiYmLg7e2NkJCQSusYPXo0Ll68WGH+vXv3EBAQUC69c+fOOHDggEPtrMjKlSvx+eefY/v27WjdurVNXk5Ojt3AzYABA5CQkIAlS5agbdu28PLyslt327ZtbY6NXq/H2rVrAQArVqzAihUrAJiPv16vx4YNG7B//34AwNy5c8vVZ72/Fy9exIoVK+Di4oKePXsCANRqNVJSUrBhwwbpNU5OTsZ///tfeHt7V3oc5s6di4KCAkRERGDPnj3o2LFjpeWJiIiodjEARURERE41ceJEpKen4/HHHwcAdO3aFVqtFmq1GgBQWFgIwBzsCA4OBgDcuHEDbdq0kepo27Yt4uLiMGfOHEyfPh1vv/02Jk+eLOUnJCTg+vXr2LJlC2bPno1PP/0UkZGRDrVPEIRyab/88gtee+01eHp6Ytu2bVUGM5RKJfr164dVq1Y59Jwmkwl6vd4myPYwEhMTsXv3buzYsQPdu3cvlx8fH4/333+/0jrGjx9faf3W+75u3TpkZmZi06ZN+MMf/oDJkyfDy8sLa9asgV6vx5UrV3Du3DmsWLECw4cPx7Rp05CTkyNNx7MeNTVw4EDMmjULR48eRe/evQEAcrkcu3fvxp///Gf07NkTOp0O586dq7SNFnK5HEuXLoVWq8WMGTOwf/9+uLi4VLkdERER1Q5OwSMiIiKnW7x4sRQw2rNnD0JDQ/HgwQO7ZY1GI8aPH4+//vWvNot3e3h4YP369QgJCZGCVgCg0WjwwQcfYMSIEejTpw9iYmKwZs2aaq2JZC01NRWTJ0+Gi4sLdu7c6dBIGplMBpVKhWbNmkm3UaNGYffu3TZp8fHx6NevH1xcXODn51duxFJ1FBQUYNmyZZg/f77d4BMAafTSpUuXqnVbv369zfaAORgVGxuLkSNHol+/fvD19cWgQYOQnJyM/Px8+Pn5Yc2aNfD19cXzzz8PtVqN6OhoXLlyBQcPHoSnp6fNKKbFixcjOzsbbdq0QWxsLAAgLi4OHh4eaNasGVatWoUzZ85Ao9Ggffv2SE9Pl26XLl1Cdna23X1eunQpAODjjz9+6GNLRERENY8BKCIiIqpxhYWFuHnzJn777TfpZhEUFIScnBzs2LHD7rY//fQT7t27hyFDhkCpVNrkqVQqbNy4EdOnT5fS3nvvPeTl5WH+/PkAgJEjR2LgwIGIjo7GjRs3qtXuI0eOYOLEiXBzc8POnTvRvn17h7cVBAFFRUXSYtoPHjyQ1r2ybr/RaIRKpYJer7cJpFVXXFwcmjRpggkTJlRYRqvVPnT9Zbc/efIkXFxcpKl1Wq0WgwYNglwuR1JSEk6dOoVr165hxowZ0uv2xz/+EZ06dUJSUlK5urOzs5GdnY2LFy9Ka2RZFp/XarXIycnB4cOHAQCLFi3CsGHDpNvzzz+Pzz77zG6b1Wo13njjDWzfvh0ajeaR9p+IiIhqjiA+6thvIiIiojKOHDmCGTNm2KRZX01uypQpSEtLw/fffw+DwYBevXrhjTfeQGRkJObMmYNvvvkGR48ehY+PD06ePImbN29CoTCvHBAUFIR27doBAPbv34+33noLK1euxMiRI6X6CwoKEBYWhvv37+OTTz7Bk08+WWFbo6OjcfnyZRw+fBixsbGIi4vDtm3b8Nhjjzm8v+PHj0eLFi2gVquRkJDg8HatWrXCsWPHHC5vbezYsQgNDcXrr79eYZn8/Hzk5+fD3d0dISEhDl1lbtSoUVi+fDmKi4vh6upqs5bWxYsX0bVrV+h0OgwbNgwhISF49dVXpdfjypUreOKJJ6TXavfu3SgqKsLUqVPtPldmZib+53/+B25ubrhw4QIWLFiAX3/9FQsXLoTRaES/fv0QEhKCdevWATBf6S8sLAwJCQlo37693bW7APNUv759+2Lp0qV47rnnqtxnIiIicj6uAUVEREQ1rlu3btiwYQOUSiUOHjyIxMREm/zhw4cjKSkJ33//Pfr27Sul37lzB19//TVGjRoFHx8fAMCBAwfw73//WyqzcuVKtGvXDvv27cPChQvRr18/3Lt3D7du3YKfnx8A83S92NhYTJgwAePGjcPMmTMxefJkqFQq7Nq1C8XFxZDL5QCA69evIz8/H1u3boVSqcQLL7yAr7/+2u5+GY1GFBcXY/z48VL7LOlKpRJvv/023njjDSiVSgwePBjjx4/Hq6++KpWLi4vDBx98gKSkJBiNRpsphtWVmppqd6Fva15eXvDy8oLBYEB8fDzUarXdxdn37t2LLVu2oF27dhg5ciTkcjnc3d3LlevatSsAc2ApMzMTrq6uUvAJAPz9/W3Kf/bZZ/Dx8SkXgNLpdIiPj8fq1avx7LPP4tVXX8WwYcPQtGlT/Pzzz5g6dSoGDhyIgoICm1FMlml3rVq1qjD4BAAKhQLdunVDWloaA1BERET1BANQREREVONatWqFVq1aATBfTa5ssGDIkCF47LHHEBwcbDMNrUmTJnj33XfRpUsXKW3x4sVYtmwZ7ty5g4EDB0KlUuGnn35CTEwMhg4dihEjRmD69Ol46qmnpAAUAJw9exZ79uyRRlSFhYVBpVJhz549uHXrljRKp7CwECaTSVozSKfTQaPRoEmTJuUWKNfpdNDpdBg8eLBNAMpgMEClUqF58+ZSmiiKKC4utrkKXVFREQCgadOmUgDsYRQXF0Ov16Np06YOlVcoFAgMDCyXnp2djSVLluD777/H1KlTER0dLS0OX5HMzEysWbMG/v7+mD17Nnbs2AEXFxe7+1NQUACTyYS9e/fCYDCgffv2CA4ORnp6Oj777DMsXLgQI0eOxLfffouBAweiffv22Lx5MxITE7F582Z4e3sjJSUFoihCEATcvn0bTZo0QZMmTarcZ29v7wrXGSMiIqLaxwAUEREROZ1l1E12djaOHDkCtVoNpVKJAwcOQKfTAQDS0tKkNX/OnTuHM2fOwMvLC4MHD7apS6VSoXfv3li/fj0GDBiA06dPA4AUONHr9Vi1ahW2bduGcePGYdu2bcjLy5NG9Hz++ec29VlPwQOA5ORkjBkzBosWLcLw4cMd2j+NRgMPDw+btOLiYuzatQu7du0qV16r1cLNzc2huu1RKpUQBMEmuFVdJ06cwMyZM+Hp6Ynt27fjj3/8Y5XbFBUVYc6cOdBoNBgyZAhMJhNWrlxZaQBKEASsXLkSBoMBL774IoKDg+Hv74/t27dDqVTizp07iIqKwrRp06TF1Pv3748vv/wS06dPx9SpU5GSkoJu3brh6tWr5UZZVSQnJ8cmSEhERER1iwEoIiIiqjVZWVlYvnw5lEpluQXGv/nmGxw/fhwAYDKZYDKZEBgYWC4AZTFo0CAAKLdG0d/+9jekpaVh9OjRmDZtGpRKpc3IpKp0794dnTp1wsaNGzF06FCHRirl5+ejSZMmMBqNKCoqgkqlwokTJ8qNoLJwdXV1uD32yOVy+Pn54erVq+jTp0+F5ZKTk6FSqcoda8C8XpNGo8G8efPg7e2N9PR0m3yDwQCTySStn6XVajFnzhykpKRIx9zd3R0pKSkVPv+kSZPg6emJjz76yCY9JSUF48aNs0nbsGEDNmzYID0+cOAAOnfujI4dO+LQoUPo1q0bTp8+7fCUuoyMDDzzzDMOlSUiIiLnYwCKiIiIak1QUBBSU1Nt0goLC9GrVy9ERUUhMjLyoeteunQpzp8/j9DQUPzzn/9Ep06dHrqumTNnYubMmdi0aVOVbTIYDLh//z5atWqF9PR0jBgxosr6fXx8cOjQIYemklXk6aefxuHDh/Hyyy9XWObll1+WRphVZNmyZRXmWRZJf/DgAV599VWcP38eS5YswXvvvWdTLiMjA++//z6mT5+Ozp07V9n2J598Ulpna+zYsRg9ejSmTJkCwPw6/vrrr1I9I0aMwNatW9GnTx9kZGRUGnCzuHDhArKyshwa1UVERES1gwEoIiIiqhVGoxFz587F0KFDa2Rh6LNnz6JHjx7SY7Vajbi4OGka18MyGo0YPHgw+vbtizVr1qBTp04YMGBAheUzMzNhMpnQtm1btG/fHkeOHIFCocDLL7+MoKAgLFiwQCq7d+9e/Otf/8KyZcseKfgEmK9W98orr+DChQvo1q2b3TJJSUlQqVR213U6evQoXnvtNWzYsAGhoaE2eaIoQqPRoKCgAADg6emJ4cOHY/To0Rg3bly5AJRCocAPP/yAGzduYO/evdL6WhVRq9Vo164dtm/fjvz8fAwaNAjNmzdHVlYWvvvuOyxdulQqO2HCBMTGxiI6OhodO3bEn/70pyqPzebNm9G1a1cEBARUWZaIiIhqR/nLoBARERHVMKPRiFmzZuHIkSMoLi5+5Pp+/PFHREREICEhQUp7++23Hzn4dPnyZYwcORI//vgj3n33XXh7e2PWrFk4ePBghducOXMGgiCgc+fOUKlUaNu2Lfz8/LBixQokJibi66+/RrNmzXD9+nWsW7cOkZGR0vTBR9GnTx+EhITgzTfftFnI3Zqnp2eVi4rbIwgC3N3dpYXkAfN0urLT5izatGmDuXPnIi0tDXFxcQ4/j0KhwFNPPYXw8HAEBwcjPDwcrq6uNgGxpk2b4rnnnoNGo8Ho0aMrnNZokZCQgMTERMyZM8fhdhAREZHzMQBFRERETmVZa+jHH39EbGwsRo4c+Uj1HTp0CNOmTYOvr6/NCCh7tFottFptpWVEUYTBYMD69esxevRoXL16FWfOnEHz5s2xZcsWeHh44M0338S8efNw+/btctsfP34c/v7+8Pb2tkkPDg7G/PnzsXjxYixduhQREREYPnw45s6dW/2drsDy5cuRl5eHOXPmSFfYqyvjxo1DTEwMRo8e7fA2YWFh2LFjB3744Qe0bNkS+fn5kMlkCA0Nxf79+wEAX3zxBQ4ePIgmTZpgw4YN+Pnnnyus79SpU1i0aBEmTpyIP//5z4+6S0RERFSDGIAiIiIip7l58yaOHj0KHx8f7Ny5EyEhIeXKiKLoUF2W4M/nn3+O4OBgxMfH44knnpDyTSZTuW1++uknvPDCCzhz5kyF9WZkZCAzMxNr165F9+7dkZCQgKioKACAv78/9uzZg65duyIhIQGDBw/GihUrpDZnZ2fj22+/tTtFz2AwoH379mjZsiV2794NAOjVqxeys7Md2l9HtG7dGrGxsTh//jzCw8Px4MEDh7e1BOaqGlFkjyiK5V43hUKBV155xWaB9aKiIptF4u214cCBAxgzZox01cDjx4/jb3/7G/z9/RETE4O5c+di2rRp+OKLL+Dl5YWIiAgpOGXt8OHDmDp1KgYMGICYmJhq7xMRERE5F9eAIiIiIqdp3bo1Vq5ciYCAAHTs2NFuGcsi2QaDodK6kpKSAJgX1l6wYIF0dTrLFLOvvvoKLi4uUvm8vDy89957yMjIqPCqc7dv30ZGRgYUCgWio6MRGRlZLiDTrl07/N///R8++eQT7N27F2FhYVKZXbt2Qa/X48UXX0RqaiouX76M69evIy0tDT/99BMMBgMGDhyIgQMH4tixY/jnP/+JhQsXonnz5mjbti18fX3RoUMHREdHV3UoKxQYGIi4uDjs2rUL7u7uVZZfvnw5Ll++LF31ztfXt9rPqdPpoNfr7ebl5OTgo48+Qm5uLi5evGh3lFphYSGWLFmC7777DjKZDOHh4Zg6dar0+omiiPDwcKjVaqxevRrDhg0DAGzbtg1RUVF46623UFBQgIkTJ0p1PvbYY4iMjERUVFSlQS8iIiKqG4Lo6M+ORERERE5w+/Zt9O/fH6+99lql6/YYjUZ89dVXGDp0qE26Xq/HjBkzcOLECRiNRpu8pk2bYvr06Zg8eXKF9e7fvx8tWrRA3759q2yrwWCwWWC7qKgI3333HYYOHYpff/0VkydPRqdOndClSxcEBQUhJCQEbm5uNm09f/48zp07h9TUVKSnpyMiIgIvvPBClc9dU7Zu3YrY2Fi0bdsW/fv3x+uvv16t7UVRROfOnTF58mS88847dsu89NJLuHHjBkJCQjB//ny0bt26XJkvvvgCWq0Wzz33nM0xAoD8/Hzs2LED4eHh8PT0tMnT6XRITEx85KmcREREVLsYgCIiIiKiGlVQUAB3d/eHmt5HREREjRMDUERERERERERE5FScIE9ERERERERERE7FABQRERERERERETkVA1BERERERERERORUDEAREREREREREZFTMQBFREREREREREROxQAUERERERERERE5FQNQRERERERERETkVAxAERERERERERGRU/0/Nrgg5gVltm4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from matplotlib import rcParams\n",
    "\n",
    "# 加载数据\n",
    "data = pd.read_csv('奶茶话题评论.csv')\n",
    "\n",
    "# 处理缺失值：将缺失的评论文本替换为空字符串\n",
    "data['text'] = data['text'].fillna('')\n",
    "\n",
    "# 计算每条评论的长度（以字符数计）\n",
    "data['评论长度'] = data['text'].apply(len)\n",
    "\n",
    "# 描述性统计\n",
    "print(data['评论长度'].describe())\n",
    "\n",
    "# 设置Matplotlib支持中文字体显示（以SimHei为例，需确保系统中安装了该字体）\n",
    "rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "\n",
    "# 可视化评论长度分布\n",
    "plt.figure(figsize=(12, 6))  # 调整图表大小\n",
    "sns.histplot(data['评论长度'], bins=30, kde=True, color='skyblue')\n",
    "plt.title('评论长度分布', fontsize=16, fontweight='bold')  # 设置标题，并调整字体大小和粗细\n",
    "plt.xlabel('评论长度（字符数）', fontsize=14)  # 设置x轴标签，并调整字体大小\n",
    "plt.ylabel('频率', fontsize=14)  # 设置y轴标签，并调整字体大小\n",
    "plt.xticks(fontsize=12)  # 设置x轴刻度标签字体大小\n",
    "plt.yticks(fontsize=12)  # 设置y轴刻度标签字体大小\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)  # 添加y轴网格线，并设置样式和透明度\n",
    "plt.tight_layout()  # 自动调整子图参数，使之填充整个图像区域\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "c4a06f97-de6d-4cc4-aaa8-465dd0c83637",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    866.000000\n",
      "mean       0.114319\n",
      "std        0.524192\n",
      "min       -2.000000\n",
      "25%        0.000000\n",
      "50%        0.000000\n",
      "75%        0.000000\n",
      "max        2.000000\n",
      "Name: 情感倾向得分, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from matplotlib import rcParams\n",
    "\n",
    "# 加载数据\n",
    "data = pd.read_csv('奶茶话题评论.csv')\n",
    "\n",
    "# 处理缺失值：将缺失的评论文本替换为空字符串\n",
    "data['text'] = data['text'].fillna('')\n",
    "\n",
    "# 定义积极和消极关键词列表\n",
    "positive_keywords = ['好喝', '喜欢', '爱喝', '不错', '推荐']\n",
    "negative_keywords = ['难喝', '不喜欢', '不喝', '糟糕', '失望']\n",
    "\n",
    "# 初始化情感计数\n",
    "data['积极词数'] = 0\n",
    "data['消极词数'] = 0\n",
    "\n",
    "# 遍历每条评论，统计关键词出现次数\n",
    "for index, row in data.iterrows():\n",
    "    for keyword in positive_keywords:\n",
    "        data.at[index, '积极词数'] += row['text'].count(keyword)\n",
    "    for keyword in negative_keywords:\n",
    "        data.at[index, '消极词数'] += row['text'].count(keyword)\n",
    "\n",
    "# 计算每条评论的情感倾向得分（简单相减）\n",
    "data['情感倾向得分'] = data['积极词数'] - data['消极词数']\n",
    "\n",
    "# 描述性统计情感倾向得分\n",
    "print(data['情感倾向得分'].describe())\n",
    "\n",
    "# 设置Matplotlib支持中文字体显示（以SimHei为例，需确保系统中安装了该字体）\n",
    "rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "\n",
    "# 可视化情感倾向得分分布\n",
    "plt.figure(figsize=(12, 6))  # 调整图表大小\n",
    "sns.histplot(data['情感倾向得分'], bins=20, kde=True, color='skyblue')\n",
    "plt.title('情感倾向得分分布', fontsize=16, fontweight='bold')  # 设置标题，并调整字体大小和粗细\n",
    "plt.xlabel('情感倾向得分', fontsize=14)  # 设置x轴标签，并调整字体大小\n",
    "plt.ylabel('频率', fontsize=14)  # 设置y轴标签，并调整字体大小\n",
    "plt.xticks(fontsize=12)  # 设置x轴刻度标签字体大小\n",
    "plt.yticks(fontsize=12)  # 设置y轴刻度标签字体大小\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)  # 添加y轴网格线，并设置样式和透明度\n",
    "plt.tight_layout()  # 自动调整子图参数，使之填充整个图像区域\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ab0aa93-5ba8-4c2c-8a0e-1a3e0efb8a64",
   "metadata": {},
   "source": [
    "# 数据预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "99c69e2b-b2ee-4307-bc18-8c1dfaaa25d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model loaded succeed\n",
      "TF-IDF Vectorizer (Jieba):\n",
      "(866, 1041)\n",
      "\n",
      "TF-IDF Vectorizer (THULAC):\n",
      "(866, 821)\n",
      "\n",
      "CountVectorizer (Jieba):\n",
      "(866, 1041)\n",
      "\n",
      "CountVectorizer (THULAC):\n",
      "(866, 821)\n",
      "\n",
      "Word2Vec Vectorizer (Jieba):\n",
      "(866, 100)\n",
      "\n",
      "Word2Vec Vectorizer (THULAC):\n",
      "(866, 100)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import jieba\n",
    "import thulac\n",
    "import re\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
    "from gensim.models import Word2Vec\n",
    "import numpy as np\n",
    "\n",
    "# 加载数据\n",
    "data = pd.read_csv('奶茶话题评论.csv')\n",
    "comments = data['text'].tolist()\n",
    "\n",
    "# 确保所有评论都是字符串类型，处理缺失值\n",
    "comments = [str(comment) if pd.notna(comment) else '' for comment in comments]\n",
    "\n",
    "# 初始化THULAC分词器\n",
    "thu = thulac.thulac(seg_only=True)  # 只进行分词，不进行词性标注\n",
    "\n",
    "# 分词工具对比\n",
    "def jieba_tokenize(text):\n",
    "    return list(jieba.cut(text))\n",
    "\n",
    "def thulac_tokenize(text):\n",
    "    seg_result = thu.cut(text, text=True)\n",
    "    if isinstance(seg_result, str):\n",
    "        tokens = seg_result.split()\n",
    "        return tokens\n",
    "    elif isinstance(seg_result, list):\n",
    "        tokens = []\n",
    "        for item in seg_result:\n",
    "            if isinstance(item, tuple) and len(item) >= 1:\n",
    "                tokens.append(item[0])\n",
    "            else:\n",
    "                tokens.append(item)\n",
    "        return tokens\n",
    "    else:\n",
    "        return []\n",
    "\n",
    "# 预处理函数\n",
    "def preprocess_text(text, tokenizer):\n",
    "    stopwords = set(['的', '了', '在', '是', '我', '有', '和', '就', '不', '人', '都', '一', '一个', '上', '也', '很', '到', '说', '要', '去', '你', '会', '着', '没有', '看', '好', '自己', '这', '那', '啊', '吗', '吧', '呢', '被', '比', '还', '但', '而', '对', '子', '着', '了', '着呢'])\n",
    "    tokens = tokenizer(text)\n",
    "    tokens = [word for word in tokens if word not in stopwords and re.match(r'[\\u4e00-\\u9fff]+', word)]\n",
    "    return ' '.join(tokens)\n",
    "\n",
    "# 预处理所有评论\n",
    "data['jieba_processed'] = data['text'].apply(lambda x: preprocess_text(str(x) if pd.notna(x) else '', jieba_tokenize))\n",
    "data['thulac_processed'] = data['text'].apply(lambda x: preprocess_text(str(x) if pd.notna(x) else '', thulac_tokenize))\n",
    "\n",
    "# TF-IDF 向量化\n",
    "tfidf_vectorizer = TfidfVectorizer(max_features=5000)\n",
    "tfidf_matrix_jieba = tfidf_vectorizer.fit_transform(data['jieba_processed'])\n",
    "tfidf_matrix_thulac = tfidf_vectorizer.fit_transform(data['thulac_processed'])\n",
    "\n",
    "# CountVectorizer 向量化\n",
    "count_vectorizer = CountVectorizer(max_features=5000)\n",
    "count_matrix_jieba = count_vectorizer.fit_transform(data['jieba_processed'])\n",
    "count_matrix_thulac = count_vectorizer.fit_transform(data['thulac_processed'])\n",
    "\n",
    "# Word2Vec 向量化\n",
    "sentences_jieba = [comment.split() for comment in data['jieba_processed']]\n",
    "sentences_thulac = [comment.split() for comment in data['thulac_processed']]\n",
    "\n",
    "word2vec_model_jieba = Word2Vec(sentences_jieba, vector_size=100, window=5, min_count=1, workers=4)\n",
    "word2vec_model_thulac = Word2Vec(sentences_thulac, vector_size=100, window=5, min_count=1, workers=4)\n",
    "\n",
    "def get_word2vec_vector(sentence, model):\n",
    "    vectors = [model.wv[word] for word in sentence if word in model.wv]\n",
    "    if vectors:\n",
    "        return np.mean(vectors, axis=0)\n",
    "    else:\n",
    "        return np.zeros(model.vector_size)\n",
    "\n",
    "word2vec_matrix_jieba = np.array([get_word2vec_vector(comment.split(), word2vec_model_jieba) for comment in data['jieba_processed']])\n",
    "word2vec_matrix_thulac = np.array([get_word2vec_vector(comment.split(), word2vec_model_thulac) for comment in data['thulac_processed']])\n",
    "\n",
    "# 输出结果示例\n",
    "print(\"TF-IDF Vectorizer (Jieba):\")\n",
    "print(tfidf_matrix_jieba.shape)\n",
    "print(\"\\nTF-IDF Vectorizer (THULAC):\")\n",
    "print(tfidf_matrix_thulac.shape)\n",
    "\n",
    "print(\"\\nCountVectorizer (Jieba):\")\n",
    "print(count_matrix_jieba.shape)\n",
    "print(\"\\nCountVectorizer (THULAC):\")\n",
    "print(count_matrix_thulac.shape)\n",
    "\n",
    "print(\"\\nWord2Vec Vectorizer (Jieba):\")\n",
    "print(word2vec_matrix_jieba.shape)\n",
    "print(\"\\nWord2Vec Vectorizer (THULAC):\")\n",
    "print(word2vec_matrix_thulac.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "1e81453e-584e-4167-b86e-e25cabcd9f74",
   "metadata": {},
   "outputs": [
    {
     "data": {
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/rpqamjm1g/7SwlmKn+flgPNeOpz70uHclw7nfnZm01+ad/jkdI5PY8pkMpP/LUnpdFou1/S79rfeeqva2tr03ve+d74vPYXNZlNHR8eCPidmL5lMqru7W21tbTNe94UUimX1zLZ+xSanK+Xkddt0Sme92tsMRcemT1fyum1ac8wKOWwLUmO/rC3mtcDBHe467BtOqnswN8MjxzUF6hn5tAD481Aelup16OrqWrDnOtL+ks1mUywW05133jk50unOO+/UOeeco3/7t3/T1VdfPad20F+av6X6eV7qOO+lw7kvHc596XDuZ2+2/aV5h08Tw8cHBwe1cuXKye2Dg4Pq7Oycdvyjjz4qu92uk08+WZKUz+clSZdeeqn+9E//VLfccsuc2mEymeR2u+f0WCwcl8tV1OuQSGX1wqtBpbLjHegJqaz00u6wNh7frOd2Dk6po+Nx27Xp+IB8VUfX56PY1wKzc7Dr0FRvk68qMq3mkzT+mW2qr5TbaZu2D3PDn4fysNSuw0JNuZOOvL8UCARktVqnTLFzOp1qaWlRX1/fnNtBf2nhLLXP83LBeS8dzn3pcO5Lh3N/eLPtL807fOrs7JTH49HWrVsnO1PRaFTbt2/XFVdcMe34J554Ysr/v/jii9qyZYvuu+++edUwwNFhKJyc8ce6NF6oOZsr6PwNLRoKJ5XM5OSyW1Xnc/EjHmXH7bRp47rAtKLjE2Epn1lgeTnS/tJpp52mXC6nl19+WSeccIIkKZVKqbe3V5dccsmith0AAGC+5h0+2e12XXHFFbrjjjvk9/u1YsUK3X777QoEArrggguUz+cVCoXk9XrldDrV2to65fETBTibmprmXL8AR49k+uDTlCQpmcnJ7bSptZEf7ih/DX43YSlwlDjS/tJpp52mt73tbfqf//N/6pZbblF1dbXuuusuWSwW/dmf/Vmp3w4AAMARWZACONdff70uv/xy3XjjjXrf+94ni8Wib37zm7Lb7erv79fmzZv1+OOPL8RL4Sjnchw6L3XZl/9qdlhexsPSSnW2+tXayFQ7YDk70v7SV7/6VZ1++um69tprdfnllysej+s73/mO/H5/Cd8FAADAkVuQX+oWi0VbtmzRli1bpu1rbm7Wrl27DvrYjRs3HnI/sL86n0set/2gdXLqfBSDQ3lIZwvKmj16fV9c3oocI5oAHHF/yePx6KabbtJNN920SC0sL+FYSr3BmOLJrDwum1oCXvm8zsM/EAAAlB2GiWBJoU4OloKBUEJP/7FPr/fsU11dRjabTR63XRvXBdTgp2AhABzO7r6IHntqt4IjicltgRq3Lt3crvbmqhK2DAAAzAXhE5Yc6uQURyKVHT+n6ZxcDs7pXCVSWW3dFlQskZ2yPZ7IaOu2oM7f0MJ5BYBDCMdSk8GTySTZrGYVCoaCoYQee/p1/eV5x6qx1lPqZgIAgCNA+IQliaLiC2sglJhxNBkjdY7c4VZkHAon+ewCwCH0BmOTwZPdZlHvQEzxNwP91/siaqn3aP2x9YyAAgBgCVmQguMAlq6JkToHBiYTI3USqexBHomZzGZFRgDAwcWT4987Nqt5SvA0IRJP67GndiscS5WieQAAYA4In7BsJFJZ9fRHtbM7pJ7+KKHJLM1mpA5mjxUZAWB+PK7x0aGFgjEteJIkm9Wi4EhCvcHYYjcNAADMEb+CsCQcrh4R08bmjpE6C2tiRcZwZPoPJlZkBIDDawl4FahxKxhKTNvXVF+hVHb8eynOTSYAAJYMRj6h7A2EEvrZs7363cv79Ma+iLa9Pqz/fr5P298YUSKVZdrYPDFSZ2FNrMjodU+t68SKjAAwOz6vU5dublegZurNo6b6Cm1cG1DPvqgkycPfpwAALBn8qkRZmwiWEsmM/JVOvdg1pFAkLUl6ZltQ64+t1bpjapRIUuB5riZG6sw09Y6ROnPT4Hfr3FOb1eQzyeP1yVvhZPVAADgC7c1V+svzVqul3qtIPC2b1aJUNqdtr48olzcUqHGrJeAtdTMBAMAsMfIJZW2iHlGVxzEleJKkTDav4EhCv3+lX1Uex0Gfg2ljhzYxUsfjtk/Zzkid+XHYzLIV4jqmyaPWxkrOIwAcocba8VXtomMZbXt9RLt7I5PB07vObpfP6yx1EwEAwCwx8gllbaIekWEYU4KnCbl8QWPJnIxq46DPwbSxw2vwu3X+hpbxulqZnFz26XW1AABYbO3NVbrykrXqDcYUT2XlcdrUEvASPAEAsMTwqxxlbaIeUSZbmHG/1WJWhcsqyTTjfqaNzZ7baWN6IgCg7Pi8TsImAACWOMInlJ2Jle1iiYwKBUNet025nKF8oSCLeXymaL5QkNlsUv7NkU+ndHqU22dMW+2OaWMAAAAAAJQW4RPKykAooa3bggqOjCk4PKZ6n0t1frc8LpuOP6ZWo2Mp9Q3ElcrkVVftUv/ImHyVDo1EUjqts17ZXIFpYwAAAAAAlBHCJ5SNiZXtwtGkgsNjamuq1LbXR/TsjgF5K+xqqqlQKpvTacc1aNeesJKpnHyVDq0/tk7B4TFFx7I6f0MLgRMOaWJkXTKdk8tBSAkAAAAAxUb4hLIxsbLdWDKnumqXtr0+oqFwUpIUjWfk8zqUyRY0FE7qzBOalMrkZDKZFIqkVDCkeCKjoXCSukU4qImRdQdOz9y4LqAGv7uELQMAAACA5ctc6gYAEyZWtsvlC3I5rZPB04R8frym00AooVQmp9F4RuFYWoX9FrpLZnKL2WQsIRMj6/YPnqTx0HLrtqASqWyJWgYAAAAAyxsjn7BoDjfdaWJlO6vFrFx++up2FrNJZrNJFrNJ2dzMq9+57HykMbOJkXUzYdQcAAAAABQPv9SxKGYz3anO55LHbVc2l5fZNHVQnstpkUySx2WT1WqWzTp90J7HbVedz1XcN4Ila2Jk3UH3M2oOAAAAAIqC8AlFd7jpThNFwt1OmzauC2j7GyPKZvM688QmpbN5JdNZpTJ5ZXIFrQxUqrLCJpfTptH41CBr0/EBCkfjoCZG1h10P6PmAAAAAKAo+LWFojvS6U7haErBkYTS2Zz2DY2pssKu9cfWKRJPq8rr1KbjA/K4bONT+DI5ueysWIbDmxhZN9NnkVFzAAAAAFA8hE8outlOd5oYIZXK5FXtdUhyyF/p1Fgyp3AspXNOaVa9zz0ZMlGfB0diYmTdTNM/GTUHAAAAAMVD+ISim+10p5lGSNmsFlV7LZIkk0wEBJiXBr9b529oYdQcAAAAACwiwicU3WynO1EQGovB7bQxag4AAAAAFtH0JcOABTYx3cnjtk/ZfuB0JwpCAwAAAACw/PBrHotiNtOdKAgNAAAAAMDyQ/iERXO46U4UhAYAAAdKpLLjN6/SObkc1OoDAGApInzCoplN55GC0AAAYMJAKDHjTamN6wJq8LtL2DIAAHAkCJ+wKI6k80hBaAAAkEhlp/UdJCmeyGjrtqDO39DCzSkAAJYICo6j6A7XeUyksiVqGQAAKFdD4aTiiYzMJsnndajaY5fbYVW11yGbxaShcLLUTQQAALPEyCcU3UTncSbxREZD4SQjnQAAwBTJdE5mk+SvdOrFriGFIunJff4qh1oC3hK2DgAAHAnCJxRdMp079P7MofcDAICjj8thVZXHMS14kqRQJK0XXx3SMU1VkkRBcgAAyhzhE4rO5Tj0x8xl52MIAACmqvO5ZOu1TAueJMlusyiXL6h7X1RdeyMUJAcAoMxR8wlFV+dzyeO2z7jP47arzuda5BZhqUmksurpj2pnd0g9/VHqhAHAUcDttMlf6ZTdZpmy3W6zqLneI0nq7o9SUxJlhT4LAMyMIScoOrfTpo3rAlOKjmdzeVktZrU3VWoonFSdTwyRx4xYZhsAjl41VU4ds6JSY8mccvmCrBazKlzj3ddQJKWmmgpVex0ySYrE0yoY44+jpiRKgT4LABwc4RMWRYPfrfM3tGgonNRINKVQJKVsLq+Xdw+rYPDFjJmxzDYAHN3qfC75Kl2yWd/6Hogns9o7GJfFYlJXX0R7BmLyVzm0vqNOoWhqMoCipiQWE30WADg0pt1h0bidNtX5XOreF9Gre8J6rXdUoWha2VyeIfKY0WxWSgQALF8To6cnpu9nc3ntHYzL47bqpGPrtHcoLunNAuRdQ6ryOCYfS01JLCb6LABwaHwro+gSqezkKjTxZEaReFpD4YRkGt8/EJZW1I3XbmCIPPbHSokAgP1HTw+EE6qrdslkMml4NCmLxax8IS9pPIAyjPFhT9SUxGKjzwIAh0b4hKLaf+57NJ5WTzCmeDKjtW01emHXoOx2swL+Cu0diuuYpkq+mDEFKyUCAKTxEVCtjTYl0zl19Y5KkiwWs1bUe7R3MK5MdjyAyuYK8rjt2nR8gClOWFT0WQDg0PhbEEWz/9z3bC6v7mBUhYKhwVBS0ohWNVWpq29UwdCY6n1ujSVzfDFjiomVEmcaxs5dbQA4+hz4A9/jsk0pSL6qqUodLdUET1h09FkA4NCo+YSi2X/u+1gyp2Qqp2yuILfLqsFQUlWe8foNyVReMqQKl5UvZkxxYK2PCdzVBoCjTyKVVTafV5XHoWqvQz6vQ2aTZLNaVO11qI3gCSVEnwUADo1hJiia/ee+5/IFmc0mxcYyqve5NaiE8hPL0Uiq8ti16fgmvpiXgP1reLkc44FhMa/b/rU+kpnx0XHFfk0AQHnZfxr/xGp3Hrd1coU7t4sf+Cg9+iwAcHCETyia/YfGWy1m2axmmcwmjYwmVe1xaFVTpdxOq6wWs1av9KmlwVPC1mI29u/8T/C47dq4LqAGv7torztR6wMAcPQ5cAn7/afa9Y+M6ZxTmlXvc/MDH2WBPgsAzIxpdyiaibnv0viUOpfDpsoKu0xmk+w2i/oG4trdF1Eknn4ziOKLupwd2PmfEE9ktHVbUIlUtkQtAwAsZzMtYT8x1c5mtcgkE30IAADKHOETimb/ue82q0Ur6j3yuOzqaK7WmSc2KW8YOr69Rn/+jmPVWMuop3I3U+d/QjyR0VA4ucgtAgAcDVjCHuUikcqqpz+qnd0h9fRHufEGAEeAaXcoqgPnvlstJlktZqUyea0/to558EsInX8AQCmwhD3KQalKDwDAcsG3NYqOue/LA51/AEApsIQ9Su1wpQfO39DCzVQAOAym3QGYlf1reB2Izj8AoFhYwh6lRukBAJg/hioAmJWJzv9MQ87p/AMAimliGn//cFyD4aSy2cKbBce5j4rio/QAAMwf4ROAWTuwhpfLbqVuFwBgUfQPJ/TYU28oOJKY3BaocevSze1qb64qYcuw3FF6AADmj78pgaNIIpUdD47SObkccwuOqOEFAFhs4VhKjz21e0rwJEnBkYQee2q3rrxkrXxeZ4lah+WOumMAMH+ET8BRglVaAABLVW8wNi14mhAcSag3GCN8QtFQegAA5o/wCTgKsEoLAGApiyezh96fOvR+YL4oPQAA80P4BBwFZrNKC1PpAADlyuM69HeUhwAARbIQJQsAAIRPKAK+pMsPq7QAAJayloBXgRr3jFPvAjVutQS8JWgVljtKFgDAwiF8woIxmUwKxbJ64VW+pMsNq7QAAJYyn9epSze3Tys6Hqhx611nt1PvCQuOkgUAsLD4xYkp5jNqyWp36Zlt/Tqw7AJf0qXHKi0AgKWuvblKV16yVr3BmOKprDxOm1oCXoInFAUlCwBgYRE+YdJ8hxYnsmbFEhnZbNO/iPmSLi1WaQEALHXhWGo8eEpm5XERPKG4KFkAAAuL8AmSFmZocTpbOOR+vqRLi1VaAABL1e6+yIxT7i7d3K725qoStgzLFSULAGBhmUvdAJSH2QwtPhyH7dAfJ76kS8/ttKm1sVKdrX61NlYSPAEAyl44lpoWPElScCShx57arXAsVaKWYTmbKFkwE0oWAMCRW5DwqVAo6K677tJZZ52l9evX60Mf+pB6enoOevxrr72mD3/4w9q4caPOOOMMXX/99dq3b99CNAVztBBDi922grzumcMMvqQBAMBc9AZjM65yJ40HUL3B2CK3CEeDiZIFBwZQlCwAgLlZkPDpnnvu0UMPPaRbb71VDz/8sEwmk6655hplMtNH0oTDYX3wgx9URUWFvve97+lf/uVfFA6HdfXVVyudTi9EczAHCzG0OJdJ6vR1jXxJAwCABRNPZg+9/8CVToAFMlGy4MwTm3RKZ73OPLFJ529oUb2PFZwB4EjNex5UJpPR/fffry1btuicc86RJN15550666yz9OSTT+qSSy6ZcvzPfvYzJZNJ/eM//qMcDock6fbbb9c555yjF154QWecccZ8m4Q5WIjV0AzDkN9ro64QAABYMB7XofsQHvoYKKLxkgV8xgBgvuYdPu3cuVNjY2PatGnT5LbKykqtXbtWzz777LTw6YwzztDXvva1yeBpf5FIZM7tMAxDicTMQ7IxO6esrtEz2/oVS7x1B9HrtumU1TVSIatE4uB3FpPJ5OS/XS6prsqqyY/XYR6LhbX/tUDpcB3KA9ehPCzV62AYhkwmU6mbcdRrCXgVqHHPOPUuUONWS8BbglYBAIAjMe/wKRgMSpIaGxunbK+vr1d/f/+045ubm9Xc3Dxl2z//8z/L4XBow4YNc25HNpvVjh075vx4SCaTSR31LiWydmWyBdltZrltBQ3u3a0Bw5jVc3R3dxe3kZg1rkV54DqUB65DeViK18Fun7ngMBaPz+vUpZvbZ1zt7l1nt8vndZawdQAAYDbmHT5N3MU8sHPmcDhmNZLpO9/5jh544AF99rOfVU1NzZzbYbPZ1NHRMefHY36SyaS6u7vV1tYml4vC4qXEtSgPXIfywHUoD0v1OnR1dZW6CXhTe3OVrrxkrXqDMcVTWXmcNrUEvARPAAAsEfMOn5zO8S/9TCYz+d+SlE6nD9nBNAxD//f//l99/etf10c+8hH9zd/8zbzaYTKZ5HZT/K/UXC4X16FMcC3KA9ehPHAdysNSuw5MuSsvPq+TsAkAgCVq3qvdTUy3GxwcnLJ9cHBQgUBgxsdks1lt2bJF9957rz796U/rk5/85HybAQAAAAAAgDI07/Cps7NTHo9HW7dundwWjUa1fft2nXbaaTM+5tOf/rT+67/+S1/5ylf0P/7H/5hvEwAAAAAcRiKVVU9/VDu7Q+rpjyqRYkEYAMDimPe0O7vdriuuuEJ33HGH/H6/VqxYodtvv12BQEAXXHCB8vm8QqGQvF6vnE6nfvjDH+rxxx/Xpz/9aZ1++ukaGhqafK6JYwAAAAAsnIFQQlu3BRVPZCa3edx2bVwXUIN/6UyHBQAsTfMe+SRJ119/vS6//HLdeOONet/73ieLxaJvfvObstvt6u/v1+bNm/X4449Lkh577DFJ0pe//GVt3rx5yj8TxwAAAABYGIlUdlrwJEnxREZbtwUZAQUAKLp5j3ySJIvFoi1btmjLli3T9jU3N2vXrl2T/3///fcvxEsCAAAAmIWhcHJa8DQhnshoKJxUa6NtkVsFADiaLEj4BAAAAKA8JdO5Q+/PHHr/chCOpdQbjCmezMrjsqkl4GX1RABYRIRPAAAAwDLmchy6y++yL++fBLv7Inrsqd0KjiQmtwVq3Lp0c7vam6tK2DIAOHosSM0nAAAAYCGxMtvCqfO55HHbZ9zncdtV53MtcosWTziWmhY8SVJwJKHHntqtcCxVopYBwNFled/mAAAAwJLDymwLy+20aeO6wIzndNPxAbmdy7feU28wNi14mhAcSag3GGP6HQAsAsInAAAAlI3Drcx2/oaWZR2WFEuD363zN7RoKJxUMpOTy25Vnc+17M9lPHnoEXNxRtQBwKIgfAIAAEDZYGW24nE7bUfdufO4Dv1+Pcs8fAOAckH4BCyARCo7ficxnZPLcXTcSQQAoBhYmQ0LqSXgVaDGPePUu0CNWy0BbwlaBQBHH8InYJ6oSwEAwMI52ldmw8LyeZ26dHP7jKvdvevsduo9AcAiYbU7YB4OV5eClXkAABMKhYLuuusunXXWWVq/fr0+9KEPqaenZ1aP/Y//+A+tWbNGfX19RW5l6R3NK7OhONqbq3TlJWv1vgvX6F1nH6P3XbhGV16yVsc0VZW6aQBw1CB8AuZhNnUpAACQpHvuuUcPPfSQbr31Vj388MMymUy65pprlMnM/D0yYe/evbr55psXqZWlN7Ey24EB1NGwMhuKx+d16sRj6/S2E5p04rF1jHgCgEXGuGVgHqhLAQCYjUwmo/vvv19btmzROeecI0m68847ddZZZ+nJJ5/UJZdcMuPjCoWCtmzZonXr1un3v//9Yja5pA63Mhu1FgEAWFoIn4B5oC4FAGA2du7cqbGxMW3atGlyW2VlpdauXatnn332oOHTvffeq2w2q2uvvfaoCp+kg6/MRq1FAACWHn4ZA/MwUZdipql31KUAAEwIBoOSpMbGxinb6+vr1d/fP+NjXnrpJd1///165JFHNDAwsCDtMAxDicT0Vb+WinS2oKf/2KdYYmpNxXAkq6f/uEfnntosh624VSWSyeSUf2NxcN5Lh3NfOpz70uHcz55hGDKZTIc9jvAJmIeJuhQz3YGlLgUAYMJE59Vun1rHyOFwKBKJTDs+kUjoU5/6lD71qU+pra1twcKnbDarHTt2LMhzlULW7NHrPftm3Dckqclnkq0QX5S2dHd3L8rrYCrOe+lw7kuHc186nPvZObB/MxPCJ2CeDleXAgAAp3O8uHEmk5n8b0lKp9NyuaaPkr311lvV1tam9773vQvaDpvNpo6OjgV9zsX0+r646uoOXqDd4/XpmKaWorYhmUyqu7tbbW1tM147FAfnvXQ496XDuS8dzv3sdXV1zeo4widgARysLgUAANJb0+0GBwe1cuXKye2Dg4Pq7Oycdvyjjz4qu92uk08+WZKUz+clSZdeeqn+9E//VLfccsuc2mEymeR2L926SN6KnGy2g3/feiuci/b+XC7Xkj6XSxXnvXQ496XDuS8dzv3hzWbKnUT4BAAAUHSdnZ3yeDzaunXrZPgUjUa1fft2XXHFFdOOf+KJJ6b8/4svvqgtW7bovvvuU3t7+6K0uRxRaxEAgKWJ8AkAAKDI7Ha7rrjiCt1xxx3y+/1asWKFbr/9dgUCAV1wwQXK5/MKhULyer1yOp1qbW2d8viJguVNTU2qqakpxVsoC9RaBABgaSJ8ArBkJVLZ8Vpb6ZxcDmptAShv119/vXK5nG688UalUilt2LBB3/zmN2W329XX16fzzjtPt912my677LJSN7WsUWvx6DLxXR8bSyln9iqdLYgJMACw9BA+AViSBkKJGe98b1wXUIOfbimA8mOxWLRlyxZt2bJl2r7m5mbt2rXroI/duHHjIfcfbai1eHTY/7s+m81qaGhIe8MFnXnSSr7rAWCJMZe6AQBwpBKp7LTgSZLiiYy2bgsqkcqWqGUAAGAhHOy7PpbI8l0PAEsQ4ROAJWconJyx2Kw0HkANhZOL3CIAALCQ+K4HgOWF8AnAkpNM5w69P3Po/QAAoLzxXQ8AywvhE4Alx+U4dLk6l51ydgAALGV81wPA8kL4BGDJqfO55HHbZ9zncdtV53MtcosAAMBC4rseAJYXwicAS47badPGdYFpnVKP265NxwdYbhsAgCXuYN/1XreN73oAWIIYrwpgSWrwu3X+hhYNhZNKZnJy2a2q87nojALAMpFIZcf/jk/n5HLwd/zRaP/v+thYSvEVdq05ZoV8Ve5SNw0AcIQInwAsWW6nTa2N/BABgOVmIJTQ1m3BKaudedx2bVwXUIOf4OFoMvFdn0hYtWNHrxw2Jm4AwFLE394AAAAoG4lUdkrwlM3lNRpLq3tfRD97pkfhWKrELQQAAEeKkU8AAAAoG0Ph5GTwFE9mNRROKJcrKF8wFI6l9HLXsNa0+hkBBQDAEkL4BAAAgLKRTOckjY94Gh5Nat9wXMlUfnL/noGoDGO88DQ1oAAAWBqYdgcAAICy4XKM3xsdS2bVNxhTbCyrbC6vXL4gwzCUyxl6Znu/BsOJErcUAADMFuETAAAAykadzyWP2654MqdQNKV0Jq9MtqB0Jq/KCruiibRCkbRCUWo/AQCwVBA+AQAAoGy4nTadsrpObqdFRuGt7fV+lzrb/Nr+ekj5QkG5vFG6RgIAgCNCzScAAACUlXzB0KnHNchutSiVyctiNikSz+iFnYPKFwyZzSb5Kx2lbiYAAJglwicAAACUlWQ6p0gsrUwur117QlMKjrucFq1p9amp1lPCFgIAgCNB+AQAAICy4nJYNRpLa81Kn/J5Q0OjSeVyBVksJvkrndp0fCMr3QEAsIQQPgEAAKCs1Plccrvs6gnG5bBZtKLOo2yuIIvZJLvNrPhYRgOhhBr87lI3FQAAzALhEwAAAMrKRNHxH/z8VW3vDin/ZnHxOp9L646p0a9f3KtTUjl53TZGQAEAsAQQPgEAAKDs5AuGmhu88lU6lcsXZLWYlUzl9GpPWPmCoWQqq6FwUq2NhE8AAJQ7wicAAACUnWQ6p/7hMQVHxuSwWyRjPJCy2cyyScrmCkpmcqVuJgAAmAXCJwAAAJQdl8Mqq8Usl8OqYGhs2op3lRV2uex0ZQEAWArMpW4AAAAAcKA6n0t1PqeGRpNTgidJ8rjsGgglVOmxl6h1AADgSBA+AQAAoOy4nTad2FGngL9CFotpcnudz6UTO2o1lswpGs+UsIUAAGC2GKsMAACAsmQY0slr6nRCR40SqZwsZrMMGUqlc3I5rdR8AgBgiSB8WoISb67ukkzn5HJYVedzscwwAABYdlwOq8Kx9OT/5wvj0+8slvHB+9R8AgBgaeAbuwwcSZg0EEpo67ag4om3hpl73HZtXBdQg9+9WE0GAAAoujqfSx63fUq/Z4LHbVedz1WCVgEAgCNF+FRiRxImJVLZacdKUjyR0dZtQZ2/oYURUAAAYNlwO23auC4wY19p0/EB+j1ljtH6AIAJhE8ldKRh0lA4OeOdv4nHDIWTam08/Bc6HQEAALBUNPjdOn9Dy3jfJZOTy07fZSlgtD4AYH+ETyV0pGFSMp2T2SRVeRwyDEOZbEF2u0UmSZF4elZFN+kIAACApcbttM3qBhvKA6P1AQAHInwqoWT60GHRgWGSy2GVv9KpP7w6pODImAoFQxazWa2NXp2ypl6xsYx6+qMHvRtIRwAAAADFtlCj9QEAywfhUwm5HIc+/Qeu4FLpseulriF19Y0qnzdkNkk11S691DWsfcNj2ry+Sa/1jh50JBMdAQAAUM4oDbA8HOkNVgDA8kf4tIgmOlSxREaFgiGb1ayGGrcymbxiY2l5K8an02VzBfkqncrl89rZHZLLYVWlx66e/ogyOUNOu0WJVE4VLpsGQwllcnlFx94KlQ42komOAAAAKFeUBlg+jvQGKwBg+eNv/kUy0aEKjoxp72BcmWxe/iqHjmurUU8wqpOOrdPWbf1yO2zyVToUiiQ1lsrKbrNoLJFVIpWV123XtteHVel2yF/lVKXbrngyqwa/W1aLWYZhqNrrmKwBdeBIJjoCAACgHFEaYHmp87nkcdtnHHHvcdtV53OVoFUAgFIibTiMmYZ/R+JpdfdHFU9k5HXbFah1K5UuTI5QisYzU45PZ/P62TM9CkVS2jscn6zVFIllFI6ldEJ7rbr7o1rXXqt9g3FZLGYNhJOKxjOqcNlU6bZpVXOljIL0/nd2yu20KZ/P66k/7pO/0qngyJjS2bxWt/i0e29E/iqH1nfUTRvJREcAAACUI0oDLE0Hmybpdtq0cV1gxpFsm44PECQCwFGI8OkQDhz+PbHS3CuvD+v5HYPKFwzlCwUd2+LTX563Ws+8ElQ4ntJxbX6FoilJUmOtR4l0Rq/sHpHTbtFgKCmLxSSf16HjVtXqld0j6t4X1b7hMWVzeZ17aot29YS1dVtQhiFVeay67i9O0Q9/2aXXesOyWy2SSWpfUa0/f0eHunpG9NjvxlTvc2sslZUkhSJpvdg1pNWtvinvh44AAAAoR5QGWHoON02ywe/W+RtaxsOpTE4uOzW8AOBoRvh0EBPDv8PRpMaSOeXyBTXWuvXT33crnsyqvblKkbGMzCaTRqMp/fT33XrnplZ190eVyRXUVF+hdCav53YOaHVzlTYd3yDJrNWtPhUKhvJ5QzveGNFgKCFbvUc2q1n1Ppf+sGtQfUNx1Va7NBxO6qqL1+mRX7ymrr5ROe0WpdJ55QqGXuoaViqT06Vntulv/3y94mMZvbEvqo6WaqXSWY1E0srlC9PeFx0BAABQbigNsLTMdpqk22ljxBoAQBLh00ENhZNT6jNJ49PWRiKpN4cW27QnGJP5zVFIfYNxbXtjRD/61W4ZhnRsS7U2rA1oTWu1Esm8/vv5Xg2PJpXK5OVxWbXhuICObfGpud4jX6VTY6mcmmo9en1vWOlsXpUVdllMJtlsFnX1jcpuNSuVyatgGKqrdsnttCqTzcvlsOmXz/fJajEpX5CyubwMSSetrlMub8z43ugIAACAckJpgKWFaZIAgCO1IOFToVDQ3XffrR/84AeKRqM69dRT9YUvfEGtra0zHh8Oh3Xrrbfq17/+tSTpoosu0mc/+1m53eWzkkkskdHewbgs5oJOWl2ngmHIbrPorJNWKJ7Mau9gTJJUU+VSMDSmVCavXN5QoSCZTNJgKKFXuob1Z+e0azSe1kVntKrCZZPNbNZLrw+rwmFTR3OV+kMJBYfHVO1xKDKWlsNu1cVvWyWX0yqPy6pQNK3G2gq5HVZ5XDZ1rPRpZYNXhimnQHWlhqMpnbymXh63VQGfW08+s0eRsYze2DeqY1ZUKZHKyu20sXQxAAAoW5QGWFqYJgkAOFILEj7dc889euihh3TbbbepoaFBt99+u6655ho99thjstvt046//vrrlU6n9e1vf1vRaFSf+9zndPPNN+uf/umfFqI5C2K8KHhB646p0y+f71N3MKbWgFc9wZhW1FXovA0rNTg6JpfDqpFIUvmCZLOYVTAMmQzJYbPouFU1evKZPdr6Sr+qvU553TbV+90699RmxRJp/fBXuzUYSqjCadUJHXUK7hmTySRtfyOklnqvCoWCzj21RfFkRvl8QatWVCk+ltEfXx3U205o0vf+c4feCEaVzxeUSOXU2erX+y5crZ8/36M9A3Ht6g7r9X1RrVtVo+3dI4qNsXQxAAAoT5QGWDqYJgkAOFLm+T5BJpPR/fffr+uuu07nnHOOOjs7deedd2pgYEBPPvnktOP/8Ic/6JlnntFtt92mdevW6YwzztAtt9yiH//4xxoYGJhvcxaM027RKZ2ByeBJkhKpnCqcVg2GEvr9K/36k03HqGCMT21rqq3QWHK84LfNatZpaxv01It7tXcorhX1HqUyOb2+L6rfvxLU4093ayic0kgkqUw2r5YGr97YF9GO7pB290WUyeQ1EBpTvmDol3/o07vOPEbnnNIikySz2aSO5mr9v5/u1B+7hhWJZyan6e3oDumBn+7Su8/qkElSKptV/3Bc//W7N1ThsKra65DP65DZ9Nac/MSbRcoBAABKbbw0QKU6W/1qbawkeCpTE9MkZ8I0SQDATOZ9W2Lnzp0aGxvTpk2bJrdVVlZq7dq1evbZZ3XJJZdMOf65555TXV2d2tvbJ7edfvrpMplMev7553XxxRfPqR2GYSiRSMztTczAbDJUU+XS0GhycttwJKn2FdWKJzN6dc+oTjuuQWaTSU11Hp3QXqvdbxYFd9qtcjls6gnGtO4Yv3r6Y0qm3wp5RuNpZbIFpdJ5uZ1WBWoq9MrrIzKbTcrlC6r02JXOjNeZMksKhhIqFAzZLGY9t2NATXUedfVFJp8vmzOUSOfkdlq1oyes/pHx82CzWtQbDCmdK2hlwKs9wYjiyZzWtPq0JxhTKJJQb7BSLfXzH/2UTCan/Bulw7UoD1yH8sB1KA9L9ToYhiGTyVTqZgBlh2mSAIAjNe/wKRgMSpIaGxunbK+vr1d/f/+04wcGBqYda7fbVV1dPePxs5XNZrVjx445P/5ANodb0bhTbqdNtdUuFQxDZpNJ0bG0JKk14JXf69Q7N7VqIDSmF3YOymGzyOOyqlCQ0tm8KpxWmU0mjaWyMu/Xdy0YhvKFgsxmkzxuuxLpnJLpN8Mmk5TO5FXx5us+v2NQHrdNLQ1eOR1WDYYTSs0wjz6TLUwOgR5L5uSvdGpkNKlgKKFstqA39kX0Rn9Ua1qq9fQf+xTwO/XG3lEFfHaNxRxSNibDmLlA+ZHo7u6e93NgYXAtygPXoTxwHcrDUrwOM5UPAMA0SQDAkZl3+DRxF/PAzpnD4VAkEpnx+Jk6cg6HQ+l0es7tsNls6ujomPPjZxLrGp0y8ulAFS6rfvn0Hp3S2aATj63Tzp6Q0pmCsvmCqirGhxyPB08TydN4uGM2mWS1WOR12xSKpLT/PVWz2SSrxaRQNKV17TUaGk3IW1GlTDavvNMqQ5Jzhnn0JkkT2VGFy6rWRq9eem1YkuSvcmploEq5vKFEOq/6mvEV9gZGM3I4XeoeyurcU1fLYZv7LMxkMqnu7m61tbXJ5WKodSlxLcoD16E8cB3Kw1K9Dl1dXaVuAlDWWEEZADBb8w6fnE6npPHaTxP/LUnpdHrGDqbT6VQmM31p1nQ6Pa/V7kwm04KvlreiLqO1bX5t7w5N27e2za/GGrfO29CmXD6vSrddq1f6lC8YsphNWlHr0Qu7BhVLZMeLl1tMMpvG46fGmgpFxtIK+CvUm4tpNJ5Wg9+tgVBC1R6HHHarXt83Xki82utQKpNXdCytFfUeOWwWpTM5dTRXTZl6Z2g8gJpo1zf+4xWtqPUqnsjKajHrDzuD2tkzqsoKuy7ZvEpD4aSqPePXZ3g0q2AorXgiq3Ru/L20BLzyeZ3T3vfhuFyuslq18GjGtSgPXIfywHUoD0vtOjDlDgAAYGHMu+D4xBS6wcHBKdsHBwcVCASmHR8IBKYdm8lkNDo6qoaGhvk2Z0G1NVbr/Rd1am2bf8r2tW1+feCiTrW3+HVCR60yOUMj0bSCIwkNhZOKJ3PyVTn1VxesUYPfJbfTqlzekMk0Pl1vdatPhYIhp8OqCpdN2Wxem04I6IT2Gq0MeLXt9WG57FZZLRZ1tvoViaU0PJqU027RcW1+/ftTu3Xx29rU0VwlaTx0slnNamus1AcuWqN9I8OymsxKpnLyuO1a0+rTjp6wbFazgqGEXnxtSC0NHrU0eLRzT1grG736/s9f1dd/+JL+9Sfb9a+Pb9d3frJdu/umj1xLpLLq6Y9qZ3dIPf1RJVJZJVJZ7RtOKp53a99IsmhFzGd6bQAAAAAAUN7mPfKps7NTHo9HW7du1cqVKyVJ0WhU27dv1xVXXDHt+A0bNuiOO+5QT0+PWltbJUlbt26VJJ1yyinzbc6CW39snao8Nu0dSiieyMjjtmtFnVttjdWSps93d9rN2juU0B92Daraa9efnnWMzj1tpfb0RyfrRm1/fUTDkaT+7Ox2vfTasPIqqNJl17Erq2WSSR6XXSaT1NxQoeBIXC2BShUMQ6/sHtYZJzbJX+nUM9uDeufGVl24Ucrk8qqtdivgcyodT2n77pTeflqzcjlDO3vC2vpKv/J5Q1anSS67RZlsXk6HRU+/tE/v3NSq/36uV+FYSpKUzxuKjmW0dyiux57arSsvWTs5AmoglJhWWNJilgI1Hu3pH9XA4KC6B3PyVUW0cV1ADX63Eqns+LlJ5+RyzL0WwEyv7XHbJ18HAAAAxbFQ/TkAwNFr3uGT3W7XFVdcoTvuuEN+v18rVqzQ7bffrkAgoAsuuED5fF6hUEher1dOp1Pr16/XKaecohtuuEE33XSTEomEvvCFL+jd73532Y18mtDWWD0ZNs1kYr77S11D+vZj27WrZ3ya3oo6j8wm6dzTWpRIZZTJGVpRV6Ez1zfpZ8/26qkX92rv0JiCIwlVuYfUucovu82i4EhCZpO0rWtEHpdNqXReu/dFlEhl9VLXsM49daU2r29WIp2VZMjtsCo4HJfVLH31B39QbXWF/vSsY3TPIy8qXxgfcWUYUi5nyOW0qsrj0Eg4pUy2IJvVor6hmCpcb3Ug8nlD2VxBwZGEeoMx+bxOJVLZaeFPNpfXrr1R7RmIqXNltQbeHNAWT2T0zPagTj62Ti+8OjTvwGim1554na3bgjp/QwsdIAAAgCLgBiAAYCHMO3ySpOuvv165XE433nijUqmUNmzYoG9+85uy2+3q6+vTeeedp9tuu02XXXaZTCaT7r77bt1888266qqr5HA4dNFFF+mzn/3sQjSlZPoGY3rgp7v02p6waqtccr05pS6ezOiFnYM6aXWdnt85qO2vj+iqS49TPl/Qtt1hbV6/QpI0FE5qR3dIDptFp3TWy+d1amd3SBVum2qrnTr1uHol0zkVDKlQKOiFXQPq6Y8qnsxqNJ7We87pkM1q0sa1TUplcsrlC3LYLW+GTgXZbGZVee2qqrDr9b0RrTumRpKUzxfkcdmVyxemvJ9CYbx6efzNqW1D4aTC0aTGkuPPbbWYJRnK5vIKRfKSaeoMTqvZpF/9oW9avYy5BEZD4eSUDo/ZJFV5HDIMQ5lsQV29o+poqSaAAgAAWEDcAAQALJQFCZ8sFou2bNmiLVu2TNvX3NysXbt2TdlWU1Oju+66ayFeumz0BGN6bU9YK+o8Go4kNRBOyO2wKpsraHg0qTPXr9BxbX5FxtL63bYB/eX5q/XE1h7t7AlpTatPG45rkN1u1rq2WtlsJqWyebU1VSmXy6tQKKi22q0nn+1RIpXXG3sjio1lxouMm6T25mqtaqrUCzuGVTAMtQQqxwOZ5molUlnlC4YqKxwKjoxpMJxUwF+hygqb3nlGq2qqnMrlC5Mr5U0wm8dDI8+bHYqRSEqv740qk81PHpMvFOR125VM55TN5ac83jAMjURSqq2eXnQ+nshoKJycXB1lYih3OpNTKpOfnJ7otFvksFsVOyB48lc69WLXkEKR8dUR9wzE1B2MHfIOHMPFAQBYWvjuLr0DbwDu78D+HAAAh7Ig4RPGv4D9lU4NR5KKJ8dHCyXTOVVW2JVI5bR3KK6m2gpZLGZ53HbVVLl0yZmrFE9kNJbKyWm3qtpjV73frcZaz+TzvrJ7WL/+w14VjLDWrarVG/0R5fMFGYahXM5Qnd+lU9fUq2AUVONzyhQ1KRJNy2mzasNxDerqG1V0LKN9w2PKFwz5vE51tFQrOpZVwF8hQ4aa6z3qHYhPvqbFYpLNalagxq2WgFeJVFahaGpK8CRpPFiLJBXwu+Vx2bWyqVYul1Njqbwy2YnRUTNLZnKSpL6BmH7zxz65XXbFExkVCgXlC4acdqssZpOaGzxy2W2qcI5/VJtqK9QzEJff61S9r0KJZFYmk+mQd+D2Hy6ezeU1lsypwmXVpuMb1dLgpSMLAECZYapXeUimc4fenzn0fgAAJhA+LRCP2y6Xw6qBcGJymyEpOpaRy2GV22lTQ41ba1fVTN65m7yjl8nJZZ/5jp7XbVe11yFJ6h2Iy24x6/S1DTIMyWIxy1/pUKXboR09I0qm87JaTEpnDJlVULXXoZPX1CsUSWt1q08Wk0m5vKFIPKM1rT553Q49uyOoCze26omtPeodiMtiMamywq4VdR696+x2+bxO9fRHlc3l5a9yTI42mjCWyMrVaFMqk1Pv4JgKSmv9sXWyWMzyJjLyed+aHme3W2SSFImn5bJbtW8orkf/+zW5HVZZrRY9sy2ocCytZDqrTK6g5jqvzjixUclUVpJJNqtJO7vDemn3kDwuuzK5vOp9bp1xfKMGQ0l53TZ19Y7KbrPIajXJajFrLJHV3uG40pmcBkIJjSWzMmTIbHLpj68Nac9ATCvqPGprrCSEAgCgDDDVq3y4HIf+qeCy81MCADA7fGMskNaAV421FeoORqdsNyTV+1yy20xvFiavnNw3Uaj8UOp8Lnnc46OC3E6rsrm83tgXUy5fUE2VU6evC8jndaol4J0SZFV67HrqxX2Kjb3VcStofG5dU71HTbUeuZ02vePU8ZX6rviTTo1GM8rk8vK67WoJeCdXuUumc4rE01rfUTc53S2dyWl4NKkqj0NtTZX691/vltdt00mr67VrT1jveXuHrBazntnePyWw8lc5dPraRlV67Hp+x6CCIwmdv6FFP/7NbhUKks/rkMdtk9lkUjqT029f3KfzT1+p/pExmUwWBWrccjoDk8FS31BMf9g1qDNObNLTL+3Vi68Nye20aSSSVLXXoY7maj25dY+a6ip04rF16huIa2XAo1e6RvTH14bUXO9VLl9Qe3OVzj2lRc0N3vl+FAAAwDww1at87N8PPZDHbVedb3p5BQAAZkL4tECa67165xmt6h+OqzsYm9zeFvDq3FNblM7m53R3yO20aeO6wOQdQJvVomqvRR63XZuOD0wGRDMFWaevDcw4ZH3T8YHJO4azCcBcDqsKhhSKpnT8MbXK5QsaCCWUzuQViWcUiaXlcduVymS0ZyCmk1bXK5cvKDgSVzwxdTh2PJFTcCSu1kbvZLvyBUOSSbFEWqHoW0GV122Tv3J8+t2KOo+2vz6i0XhaiVROZrNJXrdd64+tUy5b0LbXhxWNZ9RUV6HX9owqkxtvW3Qso1M667SrJ6wXdg5o0/GN+vUf92o4nFStz6WCYchmNWtgZEz/+fs3dMnbjlFTnUdHgpoUAAAsHKZ6lY8D+6ETDuxPAgBwOIRPC6iz1a+Lz1yl0VhG6WxODptVNptJ6Wxebtfc7w41+N06f0PLYafoLdTjDrT/Xa9wLK3RWFq7ekKKJbKq87nk8zpkt5mVyxQUS2RkMZsUiqaUL0jHrKicskJehcuqfEEKRVKy28ZrQplMJo1Ekkpn3qopZbWYtDJQqUa/W74qh17pGlF3MKrRaFqZXF75guSvdMhht6ijuUrbe0KSxgujj0STymTzctitiicy6miu1tDo+Ep9klRf7dYxTVXaOzQ+HW9Hd0idrX5l84Ze6x1VTzCqCqdNZkn1tRVKpnIHDZaoSQEAwMJiqld5Waj+JADg6Ma39wJyO206eU2Dtm4LqmAYKhiG0hljQe4OzWaE0kI+7sDn2P+uVy5fkNlsUp3PpXXH1OjVnvCU47O5gnK58Sl+EyO1DpQrGDKZTKqpcshus0wLns48sUk7e8La8caIVq2o0rPbBzSWzMpht8iQZCkYGo2ltf31EZ2yul4VTpv6h8fkyo+vMOh22lQwDMWSWUXiaR3TVK29Q3HtHRrT8zsHVCgYqvO5dMqaelnNZr3RH1E2V5DTbtXvXt6nVU1VOvfUFj32u26947RmRaIp5QqGrL0W+b1Oed02mS0m9Q7ElUhSkwIAgIWy/02viYVCJm5iBWrcTPUqgYXoTwIAjm6ETwtsud4d2v99DYQTWtVUqeBIQq/2hN+cNveWCpdd/iqH1Hfw5/NXOjQQSmjj8Y1KpXM6ZkWVevqjMpulNa1+7ewJayicULXXoVy+oLFUVrlCQbmUIbvVLJNJyhekVCYnk1myWcyKJTKqcNlkMkm5fEGFgqFstqDKCodefG1YI5Gk8gVD0bGMLBaTEqmcdu4Jy2W3KJMtKJXJS4Yhw5C6+kZlFAxtPqlJr/dFNZbMaCCcUCSe0WgsrbbGSq1p9am7P6qTVtdpeDQhs9kiwzCUSucma1LU+aR9w3GFImlZLSb5q5yq97mX/OcBAIBimbjp9cvn92jX3ujkarv+KodqqmoUS2T5HgUAYIkhfCqCA+8OhWMpdfWOKp7MyuOyTSnmvZRMvK86n0vBkcT4CCSLWfnCW6OWGmvcWneMX1Uehzzu8EELVDbVeuR1O/TK7mElkjmd2tkgk0wKxVJqrveoqzesSo9dNVUumc0mWcwmSWalM3lZnVal0jnlC5LdapbNYpbdNj4iKpvLy+WwjgdJktoavYrE0xqNp1Xnc2s0mpLXbVdkLKNoYjyEqm3xqWAYavC7NTQ6Pv3PkLSjJ6xzTm3WH17tl9NuUU8wKp/Hqaa6Co1Ek3qj36w1LT693hdRtdchi1nyVjhkMjmVSucUiib125f2aeeesDKZtzrOp69tVGebn2l5AAAchN1mVktDpfxep3KG5LCZlcnm1T8cV2Qsw+hiAACWGMKnItvdF9FjT+1WcCQxuS1Q49alm9vV3lxVwpbN3f7T8Bw2s8aSOWWyObmbKvTOM9rVWDtesPtwBSrdTpuGwm6Foint3htR5yqfzDLJ47apvblamWx+MkxqqHFr7+CYrFazHDaLHG9O1fNXORSJp3V8e632Do9pJJJUvc+lyFhGXpddJ765Ql+Dv0LHNFXqhV0DqvO5lcsXlM8bKhTGC57X+9xqa6zUb1/ap/Hy5+MrFWazBe0JxrR2lU/rV9fLah6v4VVX7VK116mXXx9RKp3T6FhaqwKV+v3L/Upn82r0V+j5nYMaHk2qrtqlrEkyDCkUSeu5nUGZzYZ6+qOKxFPyVtjVXO9VPm9QtBwAcNQbCCX0s2d69Mrukclt/iqH1nfUSWLFOwAAliLCpyIKx1LTgidJCo4k9NhTu3XlJWuX5Agoafr0QqvJUCI6qLpqx0GPmWkKotdtVz5f0Gmd9Xqpa0hjqZyOaarS8GhSFU6bWuq96g1GteG4gKQB7QlGlc0VlC8UVOVx6oT2Og2PJjU6ltbqldWyWfzKFwqq91XIZjMpmy3onJOb9cruYT390j5ZLWYFh8dUXelUtccut8OmVY2VyuUKevqlfcrlx6cQTkwkdNgtMoyC1rT69csX+rR3MK6CITXXVchht2j9sXVKpHMyDENv9EflcdlV4ZJWBirVE4wpmc5pOJJUg8+t4dGUJENVFQ796oV9k0XWPW6bGnxunbm+SdGxjGLJrFx2i07sqFNzg3fxLioAACWWSGW1dVtQI5HU5DaL2SSP065wPK1qj0MFSeksK94BALCUED4VUW8wNi14mhAcSag3GFuy4ZM0dXphIpHQjqHp7/VwBSrrfC65XXaFoimtO6ZWhmHIabfqxI5ajcbScjmtyuWl2mqnTjq2Tie218hsMauQN1Thtslikp7bMajGugqtqPVoZ09YiVRWz+0YVDaX16Wbj9HQaFz9IwkVCoYsNpOc9vHaTG/si+qM4xs1HEnqtd5RWcymyfBJktpXVKpQMHRiR51e7hpW70BcZtP4Pofdqt17I6qpcsphs6pzlV+PP/2G9g2PqdJtV75QUN9QTHXVLu0bHhsfreUwq756fESU1WJSvc+t/uExjURSGggl1DsY0+oWn0xmkwZDCTntNgVHxlQwJupcuBSNZxgdBQBYtobCScUTGVkt4yviWswmrW71advrI3p2x4BaA16lMnmFoylVeZxMYQcAYIkgfCqieDJ76P2pQ++fr0QqOz7qqIzDiv2n8IVjaUmS2ZTRSavrFRyJK18YPy4cTau1sVK11U4l0/nxkMpmkcdt00lr6pXLG3LZrTpzfZN++3K/1rT6lM7klc8bGomktXFdQDt7Qkqmx1fMsZhNOrGjVqcdVy+H3ar+4TG9vjevgpFVNmdoVVOlzj65WV17IzqmuVo/29oj05vBk0mSYYwXPh+NZ3RiR6X++OqQ9g6Nye2wKpHKyiQpNpaVxWLWqZ0Nqql0KpHOaVVTpXZ0j2hFnVfd+6KKjKWVzRXksFkVMtLyVNi0d2BMG49v0E9++7q8bruS6ZyqPA7ZrCatWenX7r2jyuUMBWrdOveUlkOOjloKnwEAACYk0+MjmipcVtltFgX8bm17fURD4aSk8anydptFuXyBlWUBAFhCCJ+KyOM6dGfIU8TO0kAoMWO9pY3rAmV3l/Bg0/OkhjmtGnjSsfV67OndGo2lZTaZdGxLtXqCUZ12XIM8LpvGUjmZJB2zokr/+ftu2W0WveusVeofTiiTy6vCaVehUNDASFIeh1U2i0lOh1VWi1mGMT4yym6zqMJlUzZXkM1qUTg6Pj3AZjUrkc5pOJJSU22FVq+sVt9QXK/sHtZofLxAajZfkGFI4dj4Cngel12JVFaJdE5D4aT6hmKqr3Gp0m2XzWaW2WRTMp1VOJpX/0ifaitd2r13VLv3jqpvIK6L39Yms8mk5v0K2ZtMJoViWb3w6lufgWwuL6vFrPXH1snrthNEAQDKjssx3jW1WS1aUe+Ry26dDJ6k8e/fBr9bNquF2k8AACwhhE9F1BLwKlDjnnHqXaDGrZZAcer5TNRLSCQz8nkdMgxDmWxBVotJ298YkddtK7vQ4WDT8+bSoWxvrtKVF69VbzCmeCorr9OmCza2KpnKTQZZlR67IvG0mus8Gkvm9Medw2pqqNDu7ogGwwnZrRb5vA6lMnkFaivkr3TK67Yrly/IbjPLbDbJYbfIYjbJajEplc6pwmmV8Wa1qFd7QnrP24/VczsHFIqklM2ND+FyOa1y2CyKJbKq9o7XxxqNpZXdb7qfy2FVPm/o9X0RSZLZZNJoPK0Kp01NdRXyVzrU3W9SOJbW0OiAmuoqlEjmlHk+r0s3t6vRb5PV7tIz2/o1Mbgunsxq72BcmWxe+4bjOv6YWmW7jJKFkYzIAgDMpM7nksdtVzyRkcdlk9NuUZXHrkLBkMtpVWNtxWRAJUnJDLWfAABYCgifisjnderSze2TRcfzhYKyuYICNRU6//RWOWyWorzuUDipRDIjf6VTL3YNKRRJT+7zVznUVFuhNa3+orx2ufB5nYetp+XzOuU6w6anX9yrF18bVncwqhV1HrU2Vqq6wqFkOq9qr10NPrcGwwnFElkNhRPK5Q3l8gU1+NyqcFlV4bQqFE2rzudSNpfXWDKrTM7Q8GhSyXRWx7ZUKxJPy+20qZAfn66XSGWVzubHO9MOqzK5jBr8bo1EUrLbLEplcgpF06qtdurNwVaKjI2PYDq5s16RsYwy2bwkKTqWUVWFQ0pKL+wMqiXgVSbjVnO9XWPprEajaeULhgJ+t/YOxRWKpGUYhuKJTEmmLCylUXkAgMW1/3T8eCIjp90ip318Cl5zvWdK8CRJLjtdWQAAlgK+sYusvblKV16yVq/3RTQYTspuM8tmNWnb7iHt3hspyg/uiRpBBwZPkhSKpPX7V/rV0uBlpInGp/yd0lkvp93y5hQ6s0wmk8KxlAqGlEhntaqpShefeYy2bguqymPXWHK8bpTHZdPx7X7ZLBatPcavnv6o6n1uVbjsyuYKqnDblMsZGgwl1NzgUXAkoRdfS+jkNfXqCcaUyeYViqZkGNKqRq/aGiv19Mv7dPZJzdo3nJDZLBUKhsxm0+Tye9GxjCqctsngSZJsFotqqp16efewfvXHPh1/TI0SqYxyeenYlmr1D4+pdyCmQE2Fjm+v1Wu9YdlsFjXXVyg4PHbQKQvd/aPaO5RQPJGR121XU51bbY3V8zrfE6Py9g+eJJUsCAMAlJ/9p+OnszmFY2nl8uPT3PfneXMKOQAAKH+ET4vAYbNo7/DYgvzgns10JZfDKsMwpgVPE8aSOWok7CeVzms0njno/mQmp9bGyml1qSo9dj314j6lUxn9yRlt2rotqJ5gTB6XTf3DY7KazfJ5Har3uzUUTqqrb3waXWSsT6tbq/WX56/WG/siiiWyMptNevrFvWqq9ejEY2u1q+c1mU0mmUwmGQVDNptZuXRegRq3crm3gqcGv1tup0UvvTas3oGYDEMym00aCicVGcsqmc6ppd4rf6VTr/WNang0pXqfS6/2hDUYTujCja0zTll48bUhPfBfO7W9OzS5bW2bX++/qFPrj62b87meWMVoJtTuAABM2H86fpXHOeOI2U3HB7hhAQDAEkH4tAgW6gf3bKcr1flcMmSa8TnGC2VbqZGwnwOH8E/b/+aQ/pnqUp2+dnxqQPe+iE5aXauTVtcplcnL67KrymOXZOg3f9wnl+Otu7WxRFaReEbP7RhQpdsup90if5VTF25sk9Vi0kg4qTVtPlnMJkXGMsrmC6pw2VRX7Vb7ikrFElkZhlTvd6mz1a9CwVDvYEyZXF4W8/jS1Ml0VmaTSYOhpFav9CszMqZ0Jq9gaEwnd9ZpOJxS70BcT2zt0QfftXbKe+ruH50WPEnS9u6QHvivnary2NTWWD2nuk0TqxgddD+fSwDAAQ62MAnBEwAASwfh0yJYiB/cRzJdye20aVVjpZ7ZFpwyPWuiXoLNaqFGwn72L256oMMN6T9chziezOp3r/TLZDJNeUxznUc7e8JqX1GlQsFQvc+tfcNxpTN5rT+2TtF4RiceWyuTTMoXDNmsJiXTOSXTeTXWVuj801dqMDSmwVBCjbUVGo2mZRjj7c3nDckw5LBZlc7llcsXlM0XZJLkr3JqRa1HmWxBpx3XoFgio0gsLTW+9Z72DiWmBU8TtneHtG84IZfDPuXzaDZJtdUu+aucGktmZbOa5XbYZJa0Yr9V+GYb9AEAsL+DLUwCAACWBn7pLYKF+MF9pKOn2poqtf7YWgVHEsrlC7JazKpwWWWzWqiRcIADi5tOmO2Q/kN1iCPxlAJ+tzpaqtXZ5lc6k9NwJKXfvrRPubyhlnqv3E6L6v0uuZ0NyuYKOqapSqd21usnv31DweG3Vkqs97n0J29rUzyZ0bpVftVWu9S9NzJeN0qGqj0OrWqsnAwczebxz5bbaZX/zQLso7GUuvaO6rcv9stkllrqvcrkjCmjmA72OZtQKBSmBU8et12/eK5PI9Gk7FaLBkMJtTVW6tzTWvSbl/bpwo2tslrMiiUyqve7lc3mFYmnVXhrkT8+lwAAAACwTBE+LYL5jKyZcKSjp9xOm85cv4IaCbNUrCH9FS67dvWMqqsvoo1rA+rqjSgYGlOhYMiQVOd3qX1FlfYNjanw5sil9pZquZ02XXmxS73BmOKprDxOm1reHEG0szuknn2DaqqtUF21S1bL+KiqgdB4YfHaaqdcTptyeU0GPYWCob1DcbmdNkXjaTnsFlnMJo1EUnrxtSHFk1n1D49JklY2eA75nkwm85TPVIXLpt++1K99w3HFExk113slSd39Uf3387266Iw2PfjELlV77SoUJMMwZLNadGxLlUYiqcn3zecSAAAAAJYnwqdFMN+RNdLcRk9RI+HIFGNIf1tjpTpaqtXVO6qt24M6trlaa1p9yhUKqq1yacNxDXp59/CMAYzvzdFKB3I5rMoVpL7B8bDIbJI6mquULxQ0NJpUKpNTg88ls8WqNa1+jSWzamnwaGWjV1UVDoWiKVnMFr2xLyKnw6JQNKWmVHby+euq3Vrb5p9x6t3aNr8sZml4NDk5mi6bsyg4MqZcvqB8wZBhvDWcKTqW0UAooR3dIzqmqUq5/Pg+q8WkCpdVZ5zQKIfNOhnA9vRHj6iG1IHmUocKAAAAAFBchE+LZL5B0FxHT1EjobQaaz1634Wr9eATr6qrd1Q7e8KSpI6War1zU6s8brtOWlN/RJ+HAz8LBUMaiaTU0VytEzvqZLOYlM+l1VhXLcNkUiqT19Mv7tPLXSMaCicmi5VvPCGgRCqngeExZXOFyeff0T042eYDV7t73ztXazA0NjlKym6zaPXKakmaDJ32r2/ltFsUiaWVyxnK7TfHLpc39PreqM5c36TWxspZF9M/lIV4DgAAAADAwiN8WkTzCYIWYvQUSuP49jpd+xcudfdHFU9m5XHZ1NZYqcbaQ09vO5iZPgsFQ8rkDJ3S5pfHIe3YsUONNQHJbNPPnu1VPm/IYbeozudS/s0QaCiU1KoVVeofGpPNap58/kRa6u4P60PvWqfhaErxREYet13+Sod2vjEkp8Mhf5VDoUh6sr6UYRgymUyqcNmUzrxV5L5gGLKYx8Moq9k0OfJJkjLZvELR9BEV05dmHt0k6YieAwAAAACweAiflhCm0S1djbWeOYdNMznUZyGReKtI+USh+gqXVRVOm2yWt0Km6FhGdqtZ/irHlNFK0ngA9fyuQZ154vjIpJ7+qJ5+aZ8kKZ1Na31HnV7sGlIoklYyk1O9363o2Pjr9A3EJ5+nqcaj0VhaHrdNZrNJ2i98ksan3w2Fk0okM/J5HTIMQ5lsQXa7RSZJkXh6SjH9g41uWrOyWonk7AvyAwAAAAAWD+HTEsM0OkyYzWdholC9zWrRinqP9g7GJ0crSePT5k5f26j+4fi0x+4/nXP/gvcFQwpFUzr+mFoZhqFcvqBT1tTr9y8H9VpvWDarWZlsQW2NlTpzfaP+63c9amnwTnldSfJXOeSvdCqZzslf6ZwMs/bfv76jbrKY/qFGSP3+lX6taqpUPJGdFl4VjOkF+QEAAAAAi4fwCVjG9i9U73HZdMyKSo0lc8rlC7JazOps88nrdigyljnkdM4DC94XDCkceysoqql06X3vXKPeYEzRsbQsFrMqXDZZDOniM9v0x9eGtHFtg8bSeY0lsvK6baqrdqve59ZgODEteJKkUCStF7uGtLrVJ+mtUVwzicQz6h9J6I+7hia3TYRXoWhqxoL8AAAAAIDFwS8yYBk7sDi5zWpRtdciaTxgaqr1yO20HXY652wK3rudthlX5xsIJeR2WPXgk69q534FzDvb/PrARZ1yO62KJ2YemRRPjAdl0tTRV/vL5vIaCifkdU8dBTYRXp12XOCgBfkBAAAAAMVnPvwhAJaqieLkHrd9yvYDRzaNT+GrVGerX62NldPqiM32eWaSzeX10M9e066esEym8dXwzGaTXt0T1gM/3SWTYWhFvUd2m2XK4+w2i5rrPZNFyg8cfTVhfCSXIV+la9pzxBM5Nfjd1EUDAAAAgBJi5BOwzC1Uofq5Pk9PMKZdPSGN1zSfWth8V09IwXBqximBFS6rbFbL5JS5g42+yuUL8lc55LCZZ3wOs3nqawIAAAAAFhfhE3AUWKhC9XN5noPVaZowlshMhkoTUwIn7F/0fGL01YFFx2uqnKrzuRSKpKZMK5xQjHpP4VhKvcGY4smsPC6bWgLeGaccAsD+CoWC7r77bv3gBz9QNBrVqaeeqi984QtqbW2d8fjXXntNt99+u1588UWZzWZt2LBBn/nMZ9TU1LTILQcAAJgfpt0BKKoDp+odqMJtn/WUvonRV2ee2KRTOut15olNuvjMVUpnCyoYM7/2Qtd72t0X0Xd+8v+3d+fhcV11nv/fte+SqrSVNku25d2xs3hLJ8Cwh62H6Q4NpAM0hDSzAA2ZTmaYZgYaQs8MgQeGp5sOoYFulgANYfl1Og2BsC8x2cjiNV4ky9qlKqmqdGu5VXV/f5RVlizZlmRLJcmf1/PkiX3vrfKpe8ryqU+d8z0H+frDR/iXX57g6w8f4cv/epDjp8cv658jIqvPZz/7Wb7xjW9w9913881vfhObzcbtt99OLjczpI/H47z97W8nEAjw1a9+lc9//vPE43He+c53ks1mZ3l2ERERkeVL4ZOILKr2aIhN7ZFZz21qj9AeDc0aKr1sdxsNYf+Mx5xbnyoc8rJn68LqUc1XPJnhwV8dZ2DUmHZ8YNTgwV8dJ57MXLY/S0RWl1wuxxe/+EXe85738KIXvYjNmzfzqU99isHBQX70ox/NuP7HP/4x6XSa//N//g8bNmxg+/bt3HPPPRw/fpwnn3yyAq9AREREZOG07E5mZWRMhuNpkkaOYtHC63bgWWCtILmytTaEuOWVm7j/h0c40n12t7tN7RH+9JWbaG0IAZe2NPBy1bW6mJ6B5IzgadLAqEHPQFLL70RkVocPH2ZiYoJ9+/aVj1VVVbF161Yee+wxXvOa10y7/vrrr+fv/u7v8Hg8M55rfHzhMy0ty8IwZv85JnOTTqen/V+Whu575ejeV47ufeXo3s+dZVnYbBevs6vwSWYYjBnsPzDAwOgEvUMpcmaBSLWHnZ31PHO8yJ6tURojM2ekiJzPjs56IlVeugeSTBg5An437dFQOXi6HC5XXasLSaXNC5/PXPi8iFy5BgYGAGhqapp2vKGhgf7+/hnXt7a20traOu3Y5z73OTweD7t3715wO0zT5NChQwt+vJzV1dVV6SZckXTfK0f3vnJ07ytH935u3O4Ll1oBhU9yDiNjsv/AAPFEuhw8AcTGszx9bJjt6+rYf2CAl+1u0wwomZfWhssbNlVC0Hfh93xQfydE5Dwmvzk9d3Dm8XjmNJPpy1/+Mvfffz8f+MAHqK2tXXA7XC4XnZ2dC368lPqyq6uLjo4OfL7LW1dQzk/3vXJ07ytH975ydO/n7tixY3O6TuGTTDMcT5Myckyk8+XgaVJsPItlWaSMHMPx9KLPMhFZbtqiIaK1/lmX3kVr/bRFV3a4JiKLx+stLcnN5XLlXwNks9kLDmoty+L//b//x9///d/zrne9iz/7sz+7pHbYbDb8fs1evhx8Pp/uZQXovleO7n3l6N5Xju79xc1lyR2o4LhMYWRMBmMGI2NpJtImhWJxxjVmvnQsncsvdfNEKi4c8vLaG9cTrZ3+D1C01s/rXrh+Rr0nm81G1izS3Z/gcFeM7v4EhpbmiVyRJpfbDQ0NTTs+NDRENBqd9TGmaXLnnXdy7733ctddd3HHHXcsejtFREREFoNmPglwts6T0w79IxN43Q7iySxVATdup6N8nctZyit9br115Mq0vrWat75mKz0DSVIZk6DXRVs0NHuhcVeInz5xmql5U9DvZu+2+ddNm9wEIJ3N4/Oo+L/ISrN582aCwSD79+9nzZo1ACQSCQ4ePMitt94662PuuusufvSjH/HJT35yRkFyERERkZVECYJgZEwOnhzFaQe7zcbVm+pJGjlGE2kSEznCIQ8Ou51ItQebzUbQ76Y+rHWvcuUKh7wX3dUuaxZ58sgILm8Ql+tsSJQycvOumzYZDqeMXPnYQkMsEakMt9vNrbfeyic+8QkikQgtLS3cc889RKNRXv7yl1MoFIjFYoRCIbxeL9/5znd46KGHuOuuu9izZw/Dw8Pl55q8RkRERGSl0LI7oWcwyeOHBvjl7/v4xe97Ododp2cgyfVXNePzODDzxdJudxvqyRct9m2PasaFyEWMjmcZS86+Netk3bS5mNwEYGrwNPkc+w8MaBmfyAry3ve+l5tvvpkPfvCDvPnNb8bhcPCFL3wBt9tNf38/N954Iw899BAADz74IAAf//jHufHGG6f9N3mNiIiIyEqhmU9XOCNj8uhz/cTGswBYFqSzeTxuB8NjBm946UbcLgfhkAePS0t9ROYqkytc8Pxc66ZNbgIwGxX/F1lZHA4Hd955J3feeeeMc62trRw5cqT8+y9+8YtL2TQRERGRRaXw6Qo3HE8zkZ7+IdiyIJMt0D9s0NmSY9u6OtqbqirUQpGVyet2XPD8XOumpbMXDqlU/F9ERERERJY7hU9XuHQ2T8DnxO1ykDNnm6lhK9d3UsFjkbmrrfZQE5q9Ntp86qb5PBf+Ma3i/yIiIiIistzpU8sVzudx4nI6aGkI0juUmhZAuV0OOpqr8HtdKngsMk8el51rN9XRNVyYsdvdfOqm1Yd9BP3uWZfeqfi/iIiIiIisBAqfrnCTH2wB1rVUMZHOky8UcTrsRGv9dDRVXbTg8ct2t1Wi6SLLn5nkxddtJGEUSefy+NzznzHo97rYuy06a/ir4v8iIiIiIrISKHy6wp37wbYmVKpTM/WDbXd/4qIFj+ur9VYSOZdlWXhcdtqbgpf0PI0RPy/b3VZa9rrAEEtERERERKRSlBjIRT/Yzq3gsd5KIovJ73VpVzsREREREVmRlBhc4c4tIr6mMTRjNoUKHouIiIiIiIjIQik1uILNtYj4nAoeF80Z50RERERERERE7JVugFTGxYqIG1O255qsCzVZmHySCh6LiIiIiIiIyMVo5tMVajievmgR8an1ZVTwWEREREREREQWQuHTFWpuRcSnU8FjEREREREREZkvLbu7QqmIuIiIiIiIiIgsBYVPV6jJIuKzKRcRFxERERERERG5RAqfrlAqIi4iIiIiIiIiS0Frq65gKiIuIiIiIiIiIotN4dMVTkXERURERERERGQxXfKyu6997Wu89KUvZceOHbzxjW/k2WefveD1/f393HHHHdxwww3s3r2b2267jeeff/5SmyEiIiIiIiIiIsvQJYVP3/3ud7nnnnt43/vex3e+8x3a29t55zvfSSwWm/X6XC7Hn//5nzM6OsrnPvc57r//fkKhEG9729vO+xgREREREREREVm5Lil8uvfee7n11lt53eteR2dnJ3/zN3+Dz+fj29/+9qzXP/744xw9epSPf/zjbN++nQ0bNvDxj38cwzD4yU9+cilNERERERERERGRZWjB4dPo6ChdXV3s27evfMzpdLJr1y4ee+yxWR+zYcMG7rvvPhobG6cdtyyL8fHxhTZFRERERERERESWqQUXHB8YGACgqalp2vGGhgYOHz4862Pq6+t50YteNO3Yl7/8ZbLZLDfccMNCmwKUAizDMC7pOWRusmaR0fEsmVwBr8dBbZWHYj4LQDqdrnDrZLIP1BeVpX5YHtQPy8NK7QfLsrDZbJVuhoiIiMiKt+DwaXIA6Xa7px33eDxks9k5PcfDDz/Mpz71Kd7ylrewefPmhTYFANM0OXTo0CU9h1yYzWYDV4gnj4wwljz7AaIm5OPaTXXYbDa6uroq18ArjM1mw+n2YZh2smYRr8uBz1Ugnyv1jfpieVA/LA/qh+VhJfbDueMcEREREZm/OYdP9957L5/73OfKv7/66quBUhHxqbLZLD6f76LP9/Wvf52PfvSjvPrVr+YDH/jAXJtxXi6Xi87Ozkt+Hjm/rFnkp0+cxuUNUu8NTjv3fF+ODa0RHA43wYCH2ioPHtclb6YoFxBLmvzuQD9JY/LvYJ6Q38U1G9uID/XQ3t4+p7+LsjjS6TRdXV10dHSoHypI/bA8rNR+OHbsWKWbICIiIrIqzDl8etOb3sSrXvWq8u8DgQA33HADQ0NDrF+/vnx8aGiIaDR6wef6xCc+wec//3ne8pa38Fd/9VeXZUq7zWbD7/df8vPI+Q33J8iYpaBvqlTa5NjpOFAgY9pwuVwE/W72bovSGFGfLAYjY/Lk0YEZ/ZEx4amjo3Q2+PD5fPo7sQyoH5YH9cPysNL6QUvuRERERC6POU9Nqampob29vfxfXV0da9euZf/+/eVr8vk8jz/+OLt27Trv89xzzz18/vOf56677uKDH/ygBnYrSDqbx26DcMhDyO/CYbfhdtpxOWy4nHbyRat8bcrIsf/AAEbGrGCLV6/heJqUkZv1XNIwMUzNOhMREREREZHlYcE1nwDe8Y538LGPfYz29nauuuoq7rvvPjKZDDfffHP5muHhYfx+P4FAgP379/MP//APvOUtb+EP//APGR4eLl83eY0sXz6Pk0iVl8cPDXGyf5xCwSJfKBIOebiqs47WhiqSRo5UukDRKgVQw/E07U2uiz+5zEs6m7/g+ZxZXKKWiIgsva7+MXqHDVJGjpDfTXO9n46mmko3S0RERETO45LCpz/5kz8hmUzy6U9/mrGxMbZv386XvvQlIpFI+Zobb7yRd7/73bznPe/hwQcfBOArX/kKX/nKV6Y91+Q1snxVBd0cODFaDp4KxSKZXJ5TgzkcDhtBn5OcWSRaGyCWyFC0IJ27cEgiC+PzXPivrlv1tkRklXr6+WHu/8FhDnbFyse2dkS45abN7NxQX8GWiYiIiMj5XFL4BHDbbbdx2223nff8kSNHyr/+6Ec/ykc/+tFL/SOlQhKpHA6HHbfLjpHPkzULWBYEfC4sC0bG0gR8Lp4+Nsz2dXXEk1l87kt+i8ks6sM+gn73rEvvQn4XfpdmPonI6tPVPzYjeAI42BXj/h8cpjro0gwoERERkWVI0yOkzMiYdPcnONwVo7s/MaNe0+RSr4awn9aGIK31QTqaqqgKuOkfSWHmi+QLFrHxLJZlEfS7qQ+vnF2NVhK/18XebVGC/ulbgAf9bvZsayKfS1eoZSIii6d32JgRPE062BWjd9hY4haJiIiIyFxoWooAMBgz2H9gYNpMmnN3rPN5nDgddjLZAkbGJGmUwqlCsQjYcDpK/5XY2Le9Eb9X9Z4WS2PEz8t2tzEcT5PO5fG5naWwr2gyaFkXfwIRkRXmfBstzPW8iIiIiFSGZj4JRsacETzBzB3r6sM+orV+3C4HdvvZXQoddjttjSE8Lgdet5O2xhAb22toCK+c7bRXKr/XRXtTFZvbI7Q3VSnsE5FV7dzZnvM9LyIiIiKVofBJGI6nz/tt8eSOdVAKOm7Y2cKmNWHcLkdpppPTRlNdgD3bGqmrcpLPF2htDNFcF1zKlyAiIleAlno/Wzsis57b2hGhpV5feoiIiIgsR1p2J+VaTuc9f86Odc0NAaJ1ftKZPAXLwu1yEPQ6ePzZ46xpibJve1QzcERE5LLraKrhlps2z7rb3Z/etFnFxkVERESWKYVPgs9z4bfB5I51sy3PM/MFJtJ5fB47L7y2g7WtdYSr9c2ziIgsjp0b6qkOuugdNkgZOYJ+Ny31fgVPIiIiIsuYwiehPuwj6HfPuvRu6o51sy3Pczkd1IQcmKZJLpfF49JKThERWVwdTTUKm0RERERWECUFgt/rYu+26IxCrUG/e9oSuostz8uZxUVro4iIiIiIiIisTJr5JAA0Rvy8bHcbw/E06Vwen9tJfdg3rXbTucvznHaI1gUw8xbpjInT4yKVLuDXqjtZZeLJDD0DSVJpk6DPRVs0RDjkrXSzREREREREVgSFT1Lm97pobzp/ofCpy/OcdmhpCPHw/m56BlPY7eBzWaxrjfCHL9zI+tbqJWy5yOI5fnqcB391nIFRo3wsWuvntTeu1/tcRERERERkDrTsTuZs6vK8aF2gHDw5HDaq/G4sq0j/qMGDvzpOPJmpdHNFLlk8mZkRPAEM6H0uIiIiIiIyZ5r5JPMyuTzvwPFRxpJZqoNuXE47YJHLlq7pGUpxuCuGZaElSrKi9QwkZwRPkwZGDXoGknpvi4iIiIiIXITCJ5k3v9eFWShOqwdVKBbABlmzSGw8Q+9QiicODwFaoiQrVyptXvh85sLnRURERERERMvuZIGCvpm1oex2J6PjaXJmEY/bUT6uJUqyUs32Pp923nvh8yIiIiIiIqLwSRaoLRoiWjt9W7t8EXJmkY6mKrK5wrRzk0uURFaS2d7nk6K1ftqioSVukYiIiIiIyMqj8EkWJBzy8tob10/7YF4sQkdTFS/e1cazx0ZmPEZLlGSlme19DqXg6XUvXK96TyIiIiIiInOgmk+yYOtbq3nra7bSM5AkOVGqNt43kuK3z/SRyxdnXB/yujAyJsPxNOlsHp/HSX3YN612FDCna0SWytT3eSpjEvSqiL6IiIiIiMh8KHySSxIOeQmHvBiGQVfPAL8bSs4aPDXXBwgF3fz4sR5SRq58POh3s3dblMZIaWbJYMxg/4GBC14jstQm3+ciIiIiIiIyf1p2J/PWP5Lit8/28aP9XTz6XB/9IykAcukEr/6DdYSrPBgZk0wuT6FYJFrr5zU3ruWZY6PTQiWAlJFj/4EBjIyJkTFnBE/nXiMiIiIiIiIiK4tmPsm8PHd8mK8/fJRjPWPlY51tNbzp5RuxuwMc6hpm3/YoZt4ik80T8LtZ31pNsWDNCJUmpYwcw/F0+dcXuqa9ScvvRERERERERFYShU8yZ/0jqRnBE8CxnjG+/vARbn7xWsZTMYzsRPnc+ESOxESOdc1VF3zudC4P1oX//HQuv9Cmi4iIiIiIiEiFaNmdzFlXf2JG8DTp+Z44yXRh1nMpI0exeOFkyed24vNcOAv1uZWVioiIiIiIiKw0Cp9kzs63JA7AssDInH9mktfjIOh3z3ou6HdTH/ZRH/Zd9BoRERERERERWVkUPsmcnS8YArDZwO89/8wkj8vJ3m3RGc8R9LvZtz2K3+vC73Vd9BoRERERERERWVm0jknmrKOpis62mlmX3m1oCxPyOWZ93OSsJb/Xxct2tzEcT5PO5fG5neXjkxoj/oteI1ceI2OW3hPZPD6P3hMiIiIiIiIricInmbOmuiBvfsXG2Xe7e8VGrOwYIb+LjHn2MefOWvJ7XRfdsW4u18iVYzBmsP/AwLRln0G/m73bojRG/BVsmYiIiIiIiMyFwieZl+3r63n3G3x09SdIpU2CPhcdTVVU++0cPtzDi6/bSMIoataSXBZGxpwRPEGp/tj+AwO8bHeb3l8iIiIiIiLLnMInmbemuiBNdcHy708PJXnq2BipXJhMd4I10RCb2yMVbKGsFsPx9HkL3aeMHMPxtGbJiYiIiIiILHMKn+SSPHNsmPt/eIQj3TGsooXNbmNTe4RbXrmJHZ31lW6erHDp7Pl3UARI5y58XkRERERERCpPu93Jgp0eSpaDp6mOdMe4/4dHOD2UrFDLZLXweS6cj/vcys9FRERERESWO4VPsmDdA8kZwdOkI90xugcUPsmlqQ/7CPrds56b3EVRREREREREljeFT7Jg56vFM2niIudFLsbvdbF3W3RGAHXuLooiIiIiIiKyfGnNiizY+WakTApc5LzIXDRG/LxsdxvD8bR2URQREREREVmBFD7JgrVHQ2xqj8y69G5Te4T2aKgCrZLVyO91aVc7ERERERGRFUrL7mTBWhtC3PLKTWxqj0w7vqk9wp++chOtDQqfRERERERERK50mvkkl2RHZz2RKi/dA0lSRo6g3017NKTgSZackTFLS/OyeXweLc0TERERERFZLhQ+ySVrbQgRCTo4dOgQWzq34Pf7K90kucIMxgz2HxiYVgQ/6Hezd1uUxojejyIiIiIiIpWkZXcisqIZGXNG8ASl3Rj3HxjAyJgVapmIiFyMkTHp7k9wuCtGd39CP7NFRERWKc18EpEVbTienhE8TUoZOYbjaRUrFxFZhjRrVURE5MqhmU8isqKls/kLn89d+PzF6Ft5EZHLT7NWRUREriya+SQiK5rPc+EfYz73wn/M6Vt5EZHFoVmrIiIiVxbNfBKRFa0+7CPod896Luh3Ux/2Leh59a28iMjiWexZqyIiIrK8KHwSkRXN73Wxd1t0RgAV9LvZtz2K37uwb87n8q28iIgszGLOWhUREZHlR/+yi8iK1xjx87LdbQzH06RzeXxuJ/Vh34KDJ9C38iIiC9E/kqKrP0HKyBEKuGmPVtFUF5x2zVDcYCyZYSyZYSKTpyboIeA7+/P6UmatioiIyPKk8ElEVgW/13VZ64PoW3kRkfl57vgwX3/4KMd6xsrHOttqePMrNrJ9fT0Ah06O8q1HjtIzmOLaTQ2cGkhwzCywdW0t9WH/Jc9aFRERkeVJn55ERGYxWUtqtqV3+lZeRGS6/pHUjOAJ4FjPGF9/+CjvfoMPh8POtx45Sld/EoAnjwyxtrma6qCbgM/J1Rvr6WiqUvAkIiKyCil8EhGZxWQtqdl2u9O38iIi03X1J2YET5OO9YzR1Z/AabeXgyeAQtHi2Omzj9m2tk4/W0VERFYphU8iIuexGLWkRERWo/Nt0FA+nzZx2m3TjjnsNta31rC+pQqbzU5iIsex03Ga64L6OSsiIrLKKHwSEbmAy11LSkRkNTp3x9EZ530unPazmyw77DZ2bW7E4bTxk8dPMxCboLkuSF2Nj61rw/y769bQGPEvdrNFRERkidgvfomIiIiIyPl1NFXR2VYz67nOtho6mqpob66ioykEwNrmaiayJk8cGmIgNoHX7cDrcZAzCxw8GefXT/diZMwlfAUiIiKymBQ+iYiIiMglaaoL8uZXbJwRQHW21XDLKzbRVBekIeznDS/dSEdTiOqgG7vNVg6eGsJ+3E4HADmzwMCowXA8XYFXIiIiIotBy+5ERERElkCxWORv//Zv+da3vkUikeC6667jQx/6EO3t7bNeH4/Hufvuu/nFL34BwE033cQHPvAB/P7luRxt+/p63v0GH139CVJpk6DPRUdTFU11wfI1W9bW8h//eCcHT4zSM5jkxp0thENuiha4nA6MtEnvcIp8oUg6l6/gqxEREZHLSeGTiIiIyBL47Gc/yze+8Q3+9//+3zQ2NnLPPfdw++238+CDD+J2z6yZ9N73vpdsNss//uM/kkgk+Ku/+iv++q//mv/7f/9vBVo/N011wWlh0yQjY5Y2b8jmcTptNIT9FIoWTz8/zHPHM9hsNuw26Giu5sarm8nniyQnchztjuHRZg8iIiIrnsInERERkUWWy+X44he/yJ133smLXvQiAD71qU/xghe8gB/96Ee85jWvmXb9U089xe9+9zseeugh1q9fD8BHPvIR3vnOd3LHHXfQ2Ni45K9hoQZjBvsPDDAcN4gnMkxkTLatqyU2niExkSvvJlob9nOid5ykkaMx4ucXv++lPuxjZ2c9zxwvsmdrVEXIRUREViiFTyIiIiKL7PDhw0xMTLBv377ysaqqKrZu3cpjjz02I3x6/PHHqa+vLwdPAHv27MFms/HEE0/w6le/ekHtsCwLwzAW9iLmKWsWiSVy/PL3vYylchw7PcbIWIaiZVEV8HDg+AibOyIc7orhdjkYjBlYlsXpoSQb22oYGE0xHDd46sgQW9eG+fXvT/Hi61rxuCpbsjSdTk/7vywN3ffK0b2vHN37ytG9nzvLsrDZbBe9TuGTiIiIyCIbGBgAoKmpadrxhoYG+vv7Z1w/ODg441q3201NTc2s18+VaZocOnRowY+fC5vNBq4QTx4ZIRQK0NU/Ts/gBKl0nlDAjQ1w2G2k0iZjyQybO2rI5IqcHkpht0MilSWbMzEmSiGZMWHQEfXS0zdCc9iGq5ha1PbPVVdXV6WbcEXSfa8c3fvK0b2vHN37uZmtfMC5FD6JiIiILLLJb07PHZx5PB7Gx8dnvX62gZzH4yGbzS64HS6Xi87OzgU/fi6yZpGfPnEalzeIy+3B6TSYyOSpDnoYS2bJ5YuY+QJGJk8ybVIV8FC0LJwOO8WiRbjKT3NDFRZ2XE47mVwet8dLfX09wVCYdc1ti9r+i0mn03R1ddHR0YHP56toW64kuu+Vo3tfObr3laN7P3fHjh2b03UKn0REREQWmdfrBUq1nyZ/DZDNZmcd1Hq9XnK53Izj2Wz2kna7s9lsi7Jb3tSC4jmzgM/rIZcHr9tJvmAR9LkZS5WCp6JlMTyWoSHip1CwGBpLE434iI2n6WiuxsiYPPrcAAdPjoIFrQ1Btq2rI5srEgp4l81ufz6fb9m05Uqi+145uveVo3tfObr3FzeXJXcAl7xo/mtf+xovfelL2bFjB2984xt59tln5/zYxx9/nC1btrB///5LbYaIiIjIsjW5hG5oaGja8aGhIaLR6Izro9HojGtzuRxjY2PLrtj4YMzgx4/18Otn+njyyBA/e/I0z50YIVLlxW63UV/jw2a3kTML2G2wbW0tjREfr7txHWuiITxuOzmzyJa1tZj5ImuiIY50x7Cs0vOPpbL8/MnT1IQ81If17bOsXEbGpLs/weGuGN39CYyMWekmiYgsmUua+fTd736Xe+65h49+9KNs2bKF++67j3e+853827/9G5FI5IKPTSaT3HXXXRSLxUtpgoiIiMiyt3nzZoLBIPv372fNmjUAJBIJDh48yK233jrj+t27d/OJT3yC7u5u2tvbAcpf1l177bVL1/CLMDIm+w8MkDLOztJyOuwMxXIMxg1a6oNsXRehJuThcFeMSLWXAydinOwfp6svQbjKy8bWMGuiIWx2G0e74+TzBV6xt53ERA6fpzRz6tnjQ4SDa/F7XRV8tSILN7nr49S/K0G/m73btIujiFwZLmnm07333sutt97K6173Ojo7O/mbv/kbfD4f3/72ty/62A9/+MO0tVV2zb6IiIjIUnC73dx666184hOf4JFHHuHw4cO8//3vJxqN8vKXv5xCocDw8DCZTAaAnTt3cu211/L+97+fZ555hkcffZQPfehDvP71r19WM5+G4+lpH6YBQn4XW9ZFONwV5zfP9POzJ04zEDPobKuhWLTweRz4PS5GExmqAm6yZoGu/gSmWaC1IcjYRI4j3XHGkhm6+sfpH05x/fZmUpmZyxBldVmtM4NmC2kBUkaO/QcGVs3rFBG5kAWHT6Ojo3R1dU3bMtjpdLJr1y4ee+yxCz72+9//Pk899RT/43/8j4X+8SIiIiIrynvf+15uvvlmPvjBD/LmN78Zh8PBF77wBdxuN/39/dx444089NBDQKl+wt/+7d/S2trK2972Nt73vvfxwhe+kA9/+MOVfRHnSGfzM47V1fg40TvOqYEEY8kMPYMpxhIZCoUiR0/FCfhchPwubriqma6+cX76RA9dfePEk1n6Rw22ra2jo7mKsWSW8VQObHC4O0Y45J2lBbJanLt889fP9PHjx3oYjBmVbtolmy2knZQycgzHtZW7iKx+C152d6Etgw8fPnzex50+fZqPfexjfPaznyUQCCz0j5/BsiwMY+X/47RSTe7iM/l/qRz1xfKgflge1A/Lw0rtB8uy5lxEcy4cDgd33nknd95554xzra2tHDlyZNqx2tpaPvOZz1y2P38x+Dwzh5L5QpFTA0mcDjs+j5OQv4iRyeNyOYgnsnjcTvxeF08cGcJhgz98wToOdcX42ROnsQCv28HmtRH+6CWd9A5O0DWQIDmRxSwUGYwZWqK0Cl1sZtDLdq/s1RKzhbTTzucufF5EZDVYcPh0oS2Dz7cFcKFQ4K677uKNb3wju3bt4vTp0wv942cwTZNDhw5dtueThenq6qp0E+QM9cXyoH5YHtQPy8NK7IdzxzkyXX3YR9DvnhYaGJk8hYKF3+fE6bSfrdNkQdDvorbaS3u0it8m0tywo5n9BwYYGc9gpE3MgoXDDh63g4GRFJvaIyQnsuzd3kT/SIrxZJZ1rdU01wVV/2kVGYobOO3g9zhxux3YgPFUlqJ1dmZQffXK3aR7tpB22nn3yn1tIiJzNeefdPfeey+f+9znyr+/+uqrAWZsA3y+LYMnn8MwDN7znvcsoKkX5nK56OzsvOzPK3OTTqfp6uqio6PjvP0vS0N9sTyoH5YH9cPysFL74dixY5VuwrLn97rYuy06bdaKw27H53UQjQTKMz4KxSLxVIaA10UmmyeezNIQ8TORyTMwapAzC5gF68y1YKTzjIyl2dxRy9rmap4/NcZ1mxv4zTN9HDs9TmtjSIWaZ2FkTIbjadLZPD6Pk/qwrxzSXehcJQ3GDH7+5GkOd8XLxyLVHnZ21hNLZChakzODVm5AM1tIOynod2sXRxG5Isz5p/ib3vQmXvWqV5V/HwgEuOGGGxgaGmL9+vXl4+fbMhjggQceYGhoiL179wKl6ewAt99+O3v27OEf/uEfFvQioFQbwe/XAKTSfD6f+mGZUF8sD+qH5UH9sDystH64nEvuVrPGiJ+X7W4rBRu5PMWCRe9wku7+JIViEbu9dB+fPjLMy/d20NU/jtNuw+VwYGRNnA47E5lSSLVzXRVv/8Od9I8apAyTYMDFrk31/O6ZAQZjButaa0hM5KYtx1oOAUqlTA2UbDY4cGKUTK5QPj+5mxqwLHdam1xuN5GevuwsNp7l6WPDbF9XRzyZXfEzg2YLaaHUB/u2R6/o97CIXDnm/JO8pqaGmpqaacfWrl3L/v37uf766wHI5/M8/vjj3HLLLbM+x1e+8hXy+bP/uAwODvKWt7yFu+++uxxIiczF6aEk3QNJUkaOkN/NmmiI1oZQpZslIiJyRfJ7XbQ3lT5A9w2nWBMN0TcywVi8VIqhaBVpDAfIZE22rQvTHq3mF7/vJZ+3sLCw2+Cm69fwBzta+dKDh+jqT2BhYcNGR1MVb3hJJ4l8nId+PsK1mxow88XycqzJP/dK0zec4uDJGCkjR1XQTe9wipO9CaJ1AYK+0j1JGTl+/XQv4SrvBespVSr8mCzEHfA5cbsc5MyzwVlsPItlWWdnBhVX9o5w54a0PvfymX0mIrIULulrhHe84x187GMfo729nauuuor77ruPTCbDzTffXL5meHgYv99PIBCgpaVl2uMdDgcAjY2Ny2rbYFnenjk2zP0/PMKR7lj52Kb2CLe8chM7Ousr2DIREZErm5ExeeLIEEGfi+3raykULPKFIsWihZkvEPQ5CPo8/PMjz/OaG9by6LP9RGsDVLW6eMWedv7pocMcPDlaXoIHcLBrlAd+ZuNtr95McqIPr9uBmS8CV26h5tODSR746fMMjJY22/G6HRjZPNvW1dLVl6C9KYTLWRpnD4waeN2OWZ+n0gHe5LJMl9NBS0OQ3qHUtAAKbOzb3ojf68IwVnb4BNNDWhGRK80lhU9/8id/QjKZ5NOf/jRjY2Ns376dL33pS0QikfI1N954I+9+97sXpc6TXHlODyVnBE8AR7pj3P/DI0SqvJoBJSIiUiHD8TTJiRwTNqir9mFZFma+SMYs0DOQpLEuyPd/fgKzUKRQLFIddHP9VRsAGIhneO74yLTgCcDMWzx3fITBeIYdnXUYGZORsTROhx2nY2UtjZxL3aV4MkPPQJJU2iToc9EWDREOeac9x8+fOs3AqIHNVirObgPy+SIDoxNcvbGOfNHC53YynsqSLxTJF4qEQx4syyJnFqcV9T5fgDfXGlFGxqRvJEVsPIvTYSNS7aUh7J/TjJ6phbiDPhfrWqpIZwrUVHnwuOxE6/wMjEwwFDPwum24PCtn2e5iWq71u0RELuSSF1Dfdttt3Hbbbec9f+62wVPNtq2wyIV0DyRnBE+TjnTH6B5IKnwSERGpkMmZLEUL4smzux8Pjk4wkTHJ5y1iiSx2O8QSaXZvbWQinSdnFknn8jOCp0lmwSotG7OguT5AKp0n6HcxMpYh5DeWdeHxyaBgdDxDLJnBNAvlndzOrbt0/PQ4D/7qeHlGU6FYpK7Gx6uu78BmAXYbxaJFbDyD3QZej5PBuEF9jY/BuMGJvnG8bgfHTo/T1hhkZ2c9iZRJOOTl0QP9xMbP9slkUe/Z6ilNLukrFgvU1fgZHjM43B0jUu2lvsZLJlvE53HisNv49TO9HDwZL89Yqq32cMPOFqoDHux2W+k6h43Tg0mSRo6g301dtZd4KoPb6WRdSzWn+sfJF8HjctBUG+DZEyNEIwF+tP8UY8ksbpeDplofLtJE6ptZTqXjljoIGowZy7J+l4jIxazs6n1yxZltl5CpJi5yXkRERBbP+baUrwp6GBlLk80VqA/7qAq4sWPn+Z5xAj4XFuD3XmQ7eq+TurCXeDLHyb5xPG4HPQMJsrkCIb9ryWZ+ZM0ipj3Iib4UoUD+gmHDZFAQT6Q50ZsgZxam7eQ2te5S1iyUgyebDRx2G0XLxshYmn/7bRfXbKznt88OsGVthN6RFNVBD73DKVwOO/0jE+TMAjYb5AtFEhM5uvuTJFI5XnRdC4e7Y/QNT2DDRijgwm63kcsVOd47TnN9kO7+RPl1nBpI8LsDA2RzeVobQ3zrkec50Vfqp0w2z5aOCC/Z1UbKyHHwZIxMroDDXlr6VyiWZlb98ve91Fb7cDvtBP0u9h8YJJvL0ztcWla3aU2EP3rJBh785Qm8Hgc37mzl1MA4oYCHp48NUxP00t1fCqsAcmaB3uEUkYDF7w70E6me28yqherqH6N32CjXFm2u99PRVFM+PznbayiWJpZIk84WyGTzOBz2RQ2CJgu0L8f6XSIiF6PwSVaUoN99wfOBi5wXERGRxXO+LeVDPiev2NeO80wdoj3bGnnwlydJZ/O0NYa4ZlMD4aCHzrZqjvWMz3jeDW3V1FX7yOUKPH96jLaGEIOjE4yOZ/ndwX7am0J0NFUv+usbjBk8e2yY0XgW19gYXo8LX5+TrWtrZ4QNU4OC0uyu0sygyZ3cNrdH6BlMMTKW5lhPiKJVLAdPXreD7oEkRsYkly/yfM8Yaxqr6GiuIpcrkC9YDI4auBx23E4H2VyBjqYqMrkCaxqrGRnL0DeSIp7M8oKrW3j80CBtjSFSaZPe4QkiVR5iiQyHu2N43Q6ShklrQ5Cr1tfx/V8e5+ipOHu3Rfnuz45zeihJwOciZeRwOuwc6ophAS+5rpXRRAav28FoIkM6m8flsJMwcricDm5+SW1pieCTp+keSBLwuqgKuBmKpznUHeM7P3meP3zhWh78VRe/fbaP//Di9cQSWU72uYnW+jlyKk42l6dQtHDYbTjsNgJeL30jBn0jKTpbw4vSx08/P8z9PzjMwa6zM+23dkS45abN7NxQz2DM4JHHTnFqIMFYMgs2qA546GiuYmQsjZkv8Oune7l2cwOZbOGyzoaaLNA+m7nW79KSPRGpFIVPsqK0R0Nsao/MuvRuU3uE9qiW3ImIiFTKbFvKO+3Q1BDiV0/10lIfYEtHmGeeH+FEX4KW+gAOu42cmefpI8O8/kXr+d7Pj08LoDa0VfMfXtTJsdNx7HY7RtrkUFec67Y00N2fJDaeJZbILHr4ZGRMDnfFeOLQMD39o/gDfhx2B5FqD3abbcbsq6lBQb5QnPZcA6MG0UiQnsEkACf7xku7veULVAXc9I1MkDJM7HYoFktLERMTWY73jrN7SyM1QQ8DoxOE/C68Hif9oxMMjE7Q1hgiYWRZ11LN7q2N5Z3VEhM5xlJZsKA66CaeyJI0TLAgaZgcORUjMZGlbySF22EHC6oCHk70lfrBns1TV+3D73WSNYsYGRMzXyRrFujqT1AoFAEbXk8pCJswTLr7E6xtrqKrP4nNBql0jprQ2XHaoe4Yryp0ADAUT5NImfg9LmpCHiYyJoOjE+TMIkXLolAs4nY6qKv2Mjqe4cTpBImUSW2197KGJ139YzOCJ4CDXTHu/8FhqoMufvFUH7/8fS85s4CRyWPmC/i9LgrFIi6ng77hCUIBNz6Pg/FUjuqgB1ePg7oqL6Ggi9h4llS6tPywvamKhvDZ0HK2YGjyvZTOlvrRzBfKxeTPdbEC/FqyJyKVpPBJVpTWhhC3vHLTrLvd/ekrN6nek4iISIWdu6W8ww6/fKqPcJWXdDbPjg31/PixU9hsYLPBRNokMZGjs62G2HiG19zQQc4sksnm8XqcBLwuivk8v366j+uvamY0kWEobtAQ9uN02DHzRYxMnngyM60w9+U2FDf43cF+RhPpacdj55l9NVn/CsDpsJd/XSiWlsXl8gU6olU01QcI+l3YbeB2OnA57KQzpcdaU0pguZx2huNpjIzJ1rURnA4bhYLFwOgE6WyeloYgL76ujYd+c5KBmMHa5io8LgdVQQ+dbTXk80ViiSyRai/xZAabzYbdVppRlM4UyOYKPHtslJfvWcOzx0fLM7XsNmgM+0kYOYbiBvmCRXXQTSpt4vc4MdImHreTXL6A02HDzBdxOuzkC2DmIeh34XLaaY+GaK4L0tYYwuGwMzKWJp05u4NdKmPSEvSQzuYpnlm+Z1EKniwLcvkCRQvGUjn6RlL8+pk+1rVUEa7yXbbwpHfYmBE8TTrYFaNv2GD/c/2MjqepDngw8wUKxVKAd/BkjNfeuJYTveMkjCzXbWogUuXl6WPDpCZMrt/RzDcfOc2pwQRBn5t8ocja5ir++MUbKOSLZHJ5LBvk8nnCAR9jyQzd/QmyZp6Q302hWCBpmJzoTdDSECTomxm4zVa/a5KW7IlIpSl8khVnR2c9kSov3QNJJowcAb+b9mhIwZOIiMgyMXVL+ccPDvDU0SFGxzNsW1fL44cGiSUybGyrITmRY8u6CIdOxvndwQG2r6tjbXMVADUhL36vk5HRNL8/PkzSMHE67Rw7PUZbY4jRRIYf7z+F02kjlsjwxKFBXnvjeta3Ls4MqNh4ZlrB7unnZs6+mlr/KuBzlmY2mQXMfBGraBGt9TM6luanT/YwkTbZtra0TG0ik2P31kYKBYuCVcRus1Ef9uN1O7h6Yz01IS8el4NIyEu0PkBV0E3nmhq8Lgc/feIUgzGD9miIkXgah8POoROjJFI5nE47NSEP+XxpNpEdaKj1M546MzuraJHO5rHZweGw4XaVZtfUVvsYGU9j5ovYbDZsttIyuKxZwONy4PM6cTkduJx23E47mVyBloYAo2MG0Vo/E2mTG3Y083zPGD2DKYbH0lgWRCN+wiEffp+TdCZP0OuiPuzDRmmmT0PEx8CoUQ7gWuqCnBpIEK0Nks6UljFOpPO4nJcvPLlYbdGUkWMslcOySvdo6oS2pGHisNvIF4qY+VIx+N8dLBV5v3ZTPT/6XTd9wymKxdIssFDATbEIX/63Q/zBVVGG4mkOn4hx88s3cGowyQ/3d+NxO6mr9mKzQXN9kC0dESI1Y/QOpVjXUjVtBlTQ76Y+7DvvsrrLsWRvoS62g6OIXBkUPsmK1NqgsElERGS5MzImjx7oZyyZZU1jCLvdRtDvLs/s2bmhnv3PDdA/MkFVwM2zx0eIJ7OY+SLhKg/rW6p54ugQiYkc65qreeLQACGfm3gySy5XwOm0UV/jo1Ao1Ut68FfHeetrti7KB9v8eXbiO9/5qfWvXE4HLQ1BeodSGBmTjuZqjLTJU88PY6TzFAoWB0+M8qJrWgj6PTxzfJjRRAbbmR3x4sksDRE/+w/0M5bM4HE72dweoVgscuhkDJfLzrrmak4NpojW+oklsqTSpWVpzxwf4YYdzeTMAsd7x2mpD+By2GmM+Nm2vo7fHx3CZgPnmbpKLqcDv9dFciLLuuZq8oUiQ/E0Po+jFFrZS2HYyb4E29fXkcrkOdk7Vg5k2qNVbF0b4cCJEQBu2NHM4e448UQGr8eBz+MkZxboaK6ibyTFuuZq/F4n0boAfq+LqzrrOHb6GFs7aikWoW8kRcBXWo5nFgpsXRfh4InYmXteSn8WEp7MFtJcrLaoz+vEdubXlgVup51c/mwC5bDbsQF1YR82m1UOK90uJyd6x/GcCfTyeYv6Gh8n+8bPzBKzePzgEH/0kvV09yX57XP9tNQHOdwd58CJUQCcDhvb19XyH168np8+cZqJdJ6aUOn5QgE3uzY30DOY5NHn+plI5wn4SqHg5LK6yZl4dhtUBz1YVml2mdvtwMbFl+wt1Lk7OAJEa/2LGhSLyPKk8ElEREREFsVwPE0k5OXVN3QwHM9gYZWCJwvMQpHqkIfTQykKRYvR8QxVATc5s8DJ/gTGcZNw0IPL5aAqUJrV8dyTo0SqvASLFumMSV2Nj7pqH8aZD9YDowY9A0nCIe9lL6wcqfbgdjlIZwszzrldDiJVnmnHzq1/FfS5WNdSRaEQYlNHmO6+BEYmT8DrxOkshRbVIQ/7DwxyajCJ02Ej4HXRO5zCzJcCoN1bowyOTvDMsRH6hlNcv70JI2MSDQRwux3UhDyEQ15iifHSjnZmkXzB4tfP9HHrTZtpqQ/SXB9k45owI+MZnn1+hJRRCqkcDhtNdUGCXjchv5uj3XFesquNZ44N0zecwumwl5YKNlVx7aYGHnnsFD6vg81rwnS2VDE+YVIsFsnmCjy8v4vm+iAel52NbWGePT6C3+tkfCJHOOThhde0MBgzuP+Hh1nXUk1VwI1lwQ07Wwh6Xezd1oRlFdm8NoJpFhiKG/jcTn5/dKhUY+pMHaypyxnnE56cr/bR5vYatq6NcPDkzKV3Wzsi1FX7iNb6OdmfwMwXSzs0ZvLk8kUaI34sLOrCfraujZDLnX2fZM60zWY7u5TSYbczlsrS1hDCzBcZiE3gsNuxbOBxOzncHWcwdjawyRcsjveO8+izA+ze0kjI7z6zA2Gh/Hfm8UODDIxMlIIxVynwBNh/YIAdnbXYbZSXAk6dxRep9rCu5fIHQfFkZkbwBCx6UCwiy5PCJxERERFZFAOxCQ6ejHG0J04mV8DlsFNb7eWVe9v5+VO9ZM0CXreDXL5IwOciGvFzvHeckN9NXbWP2mofjbUBuvsTnOgdZ2tHhIDPRW21j6M9cSJVXoxsflptpFTGXJTCys11QbauDfPc8RGmfpR2uxxsXRumuS444zHn1r/yuZ1UBd389tl+0rkCNUEPQ3EDI51nc3uY08MTHOmOYbfbsHuc2Gw2RsczuJx27HYIhzwMjEzgctrpG5nALBTxeUoB1bqWauKJDA1hP+GQB9+Zx0eqvOQLRQpFi/0HBtiyNkKhYHGkO04ynaOlLoDL5aC22seWjjB2B6xrqWIinefUYJIXX9fKhjVhzHwRr8uJRSkIi1R7iY1luGpdHf/665McOz1WDj2a6oJsX1fHyb4Em9aE6WyrIZ3N05QvsnVdLd19CfqGU9SEPAS8LoxMnoFRgx//rpv6Gh+9w0nS2TwORxKrWJolNDRW2uVufWtN+b4HfGc/ylyo3tFUF6p9dOTUGLfetJmv/tvM3e7+9KbNROsC/MGOZvJFi5F4mqyZL9Wzaqpiz9ZGqoMe1jaHGB4z6JiyCY7X7cRut0378yzLYktHhI6mUm2utsYQ6WxpOWFdtbc842n6Y0rF2SfSJo2RAIe7x4gn0pzoLRV3P9IdIxoJlJ9ncnleysiRLxRprA3w+KGBGctHU0aeAydGaWsMXda6Tz0DyRnB06SpQbGILJ6u/jF6hw1SRo6Q301zvZ+OppqKtEXhk4iIiIhcdl39Y/zyqV4GY0Z5tpAFDMQMfri/m33bo3Q0VdHaUPrQnc7m6epPkDMLpIwcXreTiYzJmsYQG9eEaa4PkDTybGyr4fs/P4Z5nmVwQa9rUQor+70u/t11a7Db4ORpcHt8uF1OorV+bry65bzPObX+1aSOaBU5s8hQvBcjXZoVE6n2kjRyWEAmVyjtkua043U7sNnA43KWazdZlGbRjIyn2dwe5nB3nHQ2T2tjiKDPxVDMIJVOUyha2ID2piqcDhvjE1l8HienB5NsW1cK8ux2O9UBFw2RAJ1tNQR9LtY2VU8Ly0YTOQqFUpF0gKDPRXNdkEKhyMhYmpqgh5fsWoOZL+LzOOkfSfHjx07RUh9k69pajHQeI2OW6nbZ7XQPJKfdD8sqFWJP5/I8dWSY471jjE/kyJkFGiN+QgE3axpDWMUipwZTeNwuWhuCuJwOzHwBp8NONpenuz9x0RluF6p9lJzIURXw8J9uvqr8YS3od9My5cPazg0NZ2pz5cu1rwrFIk6nnZ6BFDVBD5vbazGyJpFqD7HxLPlCgY1t4fLugR6PnU3tYX72xGlGxzNcs6mB3qEkIV+pkPvkzK5z2Wyl2V5Op4MDJ0bJ5Ep1r3JmgXyhSDpTYCA2QUPYX54RNbk8L1+waAz7SRnTZ4i5XQ5aG4JkcoXLXvcplTYvfD5z4fMicmmefn54xg6eWzsi3HLTZnZuqF/y9ih8EhEREZHLrm/Y4PjpMdyus0ujzHwRt8vOQMwgX7QYT2YI+Jyc7BvHAnJmqX6Oww5roiH8Hidup4O+kQkKRYt8vkBNyE1tjW/WGRXRWj8Bn3PRCiuXZjK1cqTWRjAUJhTwLmg5X0dzFbFkmtoqL/m8gc1mAxs47aV75XLazxT4LgUz1pllina7DRsQ8LqYyJi4nA5++1wfnc01rImGuHZzA7/6fS9mvrT8LV8s0hj209YY4mdP9HLNxgaSaZOsWeTUYBIzX6RYtHjRta1UBdw0hEuzws69P1OXD6bSJr1DKUJ+JzfsbOHoqThd/Qm8nlJR9UKhyFgyi9Nhx+914rDbiFR7yOTy+LwOzMLZ5Wg+r4PJIko1QS+PHx7A43RgWRCp8lAslt4zx06Ps2drI/XVDkIBD0ULXE4HqbRJOmOyZW2EJ48MUbTA63awbV0tlsWsyy2n7kI4m3Quz+b2yHlnBqxvrSZS7aG7f5zxlInf5yTgcWFZVrnoN5RCrtbGEE8fHSaTzXPT9R089JsuTg8l2L62jmeOjZIvWLQ0+IknMuzb3oRlWdis0tK4czkdNmqCHtwuO5GQl+F4adfFybpXk0sQ05lCKeU9Y/K8z+0knc2XZ7XlC6VdCSdrQ02+9stpth35pp3X7noii6arf2xG8ASlnTvv/8FhqoOuJZ8BpfBJRERERC67pJFjZDzDzg11jI5nyjNFrKJF+ExtomePj/LKfR2AjeeOlwpUO+ywqaOWF1/bQiaX5//7xfNk86W6NHu2NtFUF+S1N66ftYjx6164flqtndlc6gdsj8uOq5hiXXMbfv/0JXxz3dXL73UR8Li5ZlMDzxwbYTiexmm3M5wwaG0IEU9mMPPFUl0hnxMjnacxXNqZzuko7VrXEPZTKBSpDfmIJUtL84I+F2tbamiqCzI+kQWr1KanjgxRLFp0NFXz22d7cbucOOx2HG77mXtuI3SBYtuTywf7RlIc7R6jtT6AzWZjPJXF63GSL5R2yvO6HbjcTiLVNsx8KSzLmnl2dtbjtNtJ5wrYz6RNPq+jvETM7XbgdNo4PZSirSFEYqIUHjqdNoI+N8Nxg+REDl8xxmtv2EjCKJI0cgyMGpj5ArHxDEWrNNPmSHec471jbF9XRzyZnbHccuouhLOZy/K9cMh70eVikwHeuubq8rLLP3/9NmLjWdLZPL87MEBLfYDjveMUCha7tjTytYcP8Y7XbSdnFtjQXcPzp8ZK98Fho6k2wMb2MGsaQ4T8Z0Obs6FTnvqwj+F4etrMKafDXg7FhuNpXE5HuVD5Ql77fLRFQ0Rr/ecNitui2jxIZLH0DhszgqdJB7ti9A4bCp9EREREZOXze50ULYt4orRTm8NuI5cvYgOMTJ7TQ0mMbKnu0Wv+oIOX723HSJv4PA4cDju9gwmePjpC/szn6JSRZ2A0BTSyvrWat75maynoyZgEvWeDnu7+xAXbdbk/YE+a765ekWovxWIpdLBhI+h3UbQstq6t5bfP9TM6liE5kaMh7MdRa2PbuloePzRITchDtNbPVevr6OpL0tlWQ221lxt2tjA4ajAUMzg1kMTCwmG3USxatDYEGUtlGYpPkC9YuM+ZcBLwnZ2xcz5+rwuXw8FY6my9ILsNWhuDtDUG6RksFUZ3uO0EfW6a6vyE/G7Wt9bgcTnZvS1K//AEI2MG4xNZ4slSCONyOmiuC5A5Uxg+OyU8zOctUukcAZ+LolWqk+Rx2WlvCtLdn+CZYyPla818qcZRziwQGy9gnSkEdu5yy6m7EJ5r6syly+XcZZfrW+FwV4zmM8XA/V4XiVSWdC5POOTjkcdO8Yq97bztpi385rl+RsbSuF0O/F4n7U3V7NseLe8WCRDwlWac9Q6n2LaulgMnRnHYbZiUltRFa/3s2x4989pZ0tceDnkvGBRPBniXe3OAy/18IivR+WYAz/X8YlD4JCIiIiKXXV21j/XN1RztibNnW5Sjp8YYHc8ApZk0DoeNG3c08U8PHWDHhga8LgedrTXki0UefXYAj9tBU0No2vKgQpHysrnzzT5Z6nABFrarV33YR3XIW27nWLLApjVhnjsxws4N9dhtpWWIVQE361qqGE+ZvOnlm0kaOcx8gbFklqqgm6Dfzb7tUcIhb6kmlMOOy2mnUCyWl9XlCxb5fJHqoAefd/rwP1rrZ9u6yJw+nJ+7ZK1oQd9QipftWcNTR4ZIZwtndmFzEq7ysW97tLyUDzizC2EVjbUBHn2un4l0noDPyUQ6T6jKTUt9cEZ4mM9b+D0uaqs9pOPnb8tk7aNJZr5Y/vXU5Zbn7kI4afI+LkVIMXX2VTjoZN+2KPFkhkjIS9Dvwu1ycOJ0jI6mKtqjpd3w1jZX09lWg9/rwsiY5fe4y1na1a53KMXR7jjb19fSUh8kky3Q0VxFR1NV+TVV4rWfLyj2uBx09ycYHc8QS2YwzQLjqSxF69I2B1iMzQZEVqLgBWazzuX8YlD4JCKrgr7lEhFZXqJ1AV77gnV89+fHMDIm4ZCH5voANUEPu7c0cnooxbd/9jyx8Sz7tjcT9LnpbKvh1ECSmpAHmH2J1MWWzVXiA/ZCdvU6t51FC2KJDNdsaqQx4qdYtCgWLbweBx6Xk61rfeXgYerueVP/vasP+4jW+hmMGeRMysvqLMtiy9oIDoeNDW3hUj2oQpHaai8vuraVpll26pvNbP2RL0LvUIoNbWFa6oO43Y4Z7Tr3dW9qj9DWGCq/DiNtMpHJ0VwfYGQsTco4W4g66Hexo7OWplofJ6aET+e2ZbK20SSX0z7t91PfN7PtQriU44bJgDRv5uhoCfPlhw5xuDvG5Gq5rR0R3viKjXT1xsmYpffuZPAEM987QZ+LdS1VOB12rt5YT/DMTLbZXk8lXvu5QfFgzOCXv+8r79SXMwtEqj3s7KwnlsgseHOAC+1keCmbDYisRC31frZ2RGZdere1I0JL/dKHsQqfRGTF07dcIiKVN9t2zi31IV53QwdFy8azx0dxOe2MpTJ87QeHyeYLJFI5bJTCkcnZN5ejJs9Sf8Be6K5eC2nnbLvnTT13w84WzHyBgyfj5ZlA4SoPV3XWs7GthpxZXPA9Od+ssqIFZsGaFpBczNTX0d2f4OipOFs7ImDByFiafNHCabdRV+Pjhp2teFzTw6Rz2zJZ+whK9cFsNtu0689931zoPi62yfAoNp7mHx88yKHu0odDu61UK/xQd4xvPnyUt756C8f7ErOGppfyHq/ka58aEE2drRYbz/L0seFyra6FbA5woZ0ML3WzAZGVpqOphltu2jzrbnd/etPmJa/3BAqfRGSF07dcy8tQ3KC7L0EqXdqeur2patqSCxFZnS60nfM1m6McOhnjcFcMmw2KRYtcvkAuV8DjduBxOWiuD5Zn31yuZXNL+QH7Unb1utztbIz4ed0L1nPdlhSxRBanw0akyktD2H/J/x4u1qyy+rAPv8/N6HiGjWvCbGirwcwXcTnt+Lwu2hqDUJwe4J3blsnaR0G/k50b6omdWeI52b7FWG45aSGzrxsjfo6dHuPIqTh2G4CNybzMsuDIqRhjE7kLjmMqGSIt1NSA6NzZarHxbLlWF8x/c4C57GQociXZuaGe6qCr/MVQ0O+mpd5fkeAJFD6JyAqnb7mWj0MnR/nWI0fp6k+Wj3U0hXjDSzeyZW1tBVsmIovpYts5/6ebr6KzrYaW+gAn+xPYbTbcTgcupwO73UZ7tIq1zWcLci+Hmjzztdx29fJ7XXS2hhfluRdjVtnUPo8nzxY0D/rdbFtXW1puaMycPXZuW3ZviTIYNxgcnSgvYVvs982lzL5OGbkzgdP0WVqTxyaM3LJ8v1+KqQHR1Nlqk6bW6prv5gCXY9akyGrT0VRTsbDpXPobKCIrmr7lWh6G4saM4Amgqz/Jtx45yn/8452aASWySs1lO+cbdtTwhpduLP+cmJzb0NYQ5OaXbJjx86HSNXnma667eq0WizHjZqF9fm5bOjJVS/a+udTZ1xcr+BuoQEHgxTY1IJqcrTa1UPxkra6FzFarxGYDIjJ3Cp9EZEXTt1zLQ3dfYkbwNKmrP0l3X0Lhk8gqNdftnLesreU//vHOs0tzfW7am8+/NHelLSk6365eqy14WkyXo8+X8n1zqbOv26MhNrVHONI9M7zd1B6hfYlnzC2FqQHR1J36JouO22y2Bc9WW4mzJkWuJPpUJiIrmr7lWh5S6Yt8+LzIeRFZueaznXND2L+qg+hzd/WS1e1SZ1+3NoS45ZWbuP+HR6YFUJvaI/zpKzfR2rD6wqdL2alvLlbarEmRK4nCJxFZ0fQt1/IQ9F3kw+dFzovIyrUct3MWWQqXY/b1js56IlVeugeSTBg5An437dHQqgyeJi12QLTSZk2KXCkUPonIiqdvuSqvvbmKjqbQrEvvOppCtDdXVaBVIrIUluN2ziJL4XLNvm5tWN1h02wUEIlceRQ+iciqoEFMZTWE/dOKCU/qaArxJy/btKqX2YjI8tvOWWQpaPa1iMjcKXwSEZHLYr7FhEVkdVlO2zmLLBXNvhYRmRuFTyIictms9mLCIiIi59LsaxGRi7NXugEiIiIiIiIiIrJ6KXwSEREREREREZFFo/BJREREREREREQWjcInERERERERERFZNAqfRERERERERERk0Sh8EhERERERERGRRaPwSUREREREREREFo3CJxERERERERERWTQKn0REREREREREZNEofBIRERERERERkUWj8ElERERERERERBaNwicREREREREREVk0Cp9ERERERERERGTRKHwSEREREREREZFFo/BJREREREREREQWjcInERERERERERFZNAqfRERERERERERk0dgsy7Iq3YhL9eSTT2JZFm63u9JNuWJZloVpmrhcLmw2W6Wbc0VTXywP6oflQf2wPKzUfsjlcthsNq699tpKN+Wy0Hjp8lip7+eVTve9cnTvK0f3vnJ07+duruMl5xK1Z1HpzVB5NptNg9llQn2xPKgflgf1w/KwUvvBZrOtqjHGanotlbRS388rne575ejeV47ufeXo3s/dXMdLq2Lmk4iIiIiIiIiILE+q+SQiIiIiIiIiIotG4ZOIiIiIiIiIiCwahU8iIiIiIiIiIrJoFD6JiIiIiIiIiMiiUfgkIiIiIiIiIiKLRuGTiIiIiIiIiIgsGoVPIiIiIiIiIiKyaBQ+iYiIiIiIiIjIolH4JCIiIiIiIiIii0bhk4iIiIiIiIiILBqFTyIiIiIiIiIismgUPomIiIiIiIiIyKJR+CRzUiwW+cxnPsMLXvACdu7cyTve8Q66u7vPe308Hue//tf/yu7du9m9ezf/83/+TwzDWMIWr17z7Yvnn3+eP//zP2fv3r1cf/31vPe976Wvr28JW7w6zbcfpvqXf/kXNm3axOnTpxe5lavffPvBNE0++clP8oIXvICrr76aW2+9lUOHDi1hi1en+fbD8PAwd9xxB3v37mXv3r38xV/8BQMDA0vYYpHz05inMjS+qRyNaSpH45jK0dhl6Sl8kjn57Gc/yze+8Q3uvvtuvvnNb2Kz2bj99tvJ5XKzXv/e976Xnp4e/vEf/5HPfOYz/PrXv+av//qvl7jVq9N8+iIej/P2t7+dQCDAV7/6VT7/+c8Tj8d55zvfSTabrUDrV4/5/p2Y1Nvbq78Ll9F8++HDH/4w3/72t/noRz/KAw88QE1NDbfffjvJZHKJW766zLcf3v/+99Pf38+XvvQlvvSlLzEwMMB//s//eYlbLTI7jXkqQ+ObytGYpnI0jqkcjV0qwBK5iGw2a11zzTXW/fffXz42Pj5u7dixw3rwwQdnXP/kk09aGzdutI4dO1Y+9stf/tLatGmTNTAwsCRtXq3m2xf//M//bF177bVWJpMpH+vv77c2btxo/eY3v1mSNq9G8+2HSYVCwXrzm99svfWtb7U2btxo9fT0LEVzV6359sOpU6esjRs3Wj/96U+nXf/iF79Yfx8uwXz7YXx83Nq4caP1yCOPlI/9+Mc/tjZu3GjFYrElabPI+WjMUxka31SOxjSVo3FM5WjsUhma+SQXdfjwYSYmJti3b1/5WFVVFVu3buWxxx6bcf3jjz9OfX0969evLx/bs2cPNpuNJ554YknavFrNty+uv/56/u7v/g6PxzPj3Pj4+KK2dTWbbz9MuvfeezFNk3e9611L0cxVb7798Ktf/Yqqqipe+MIXTrv+Jz/5Cddff/2StHk1mm8/eDwe/H4/3/ve90ilUqRSKb7//e/T0dFBdXX1UjZdZAaNeSpD45vK0ZimcjSOqRyNXSrDWekGyPI3uZa1qalp2vGGhgb6+/tnXD84ODjjWrfbTU1NzazXy9zNty9aW1tpbW2dduxzn/scHo+H3bt3L15DV7n59gPAM888wxe/+EW+/e1vMzg4uOhtvBLMtx+6urpoa2vj4Ycf5r777mNwcJCtW7fy3//7f5/2wVHmZ7794PF4+NjHPsZHPvIRdu3ahc1mo76+nq9+9avY7fpOTCpLY57K0PimcjSmqRyNYypHY5fK0J2Si0qn00BpMDWVx+OZdV19Op2ece2Frpe5m29fnOvLX/4y999/P3fccQe1tbWL0sYrwXz7wTAM/vIv/5K//Mu/pKOjYymaeEWYbz+kUilOnTrFZz/7We644w7+/u//HqfTyS233MLo6OiStHk1mm8/WJbFkSNHuOaaa/ja177GP/3TP9HS0sJ/+S//hVQqtSRtFjkfjXkqQ+ObytGYpnI0jqkcjV0qQ+GTXJTX6wWYUXwtm83i8/lmvX62Qm3ZbBa/3784jbxCzLcvJlmWxac//Wk+9rGP8a53vYs/+7M/W8xmrnrz7Ye7776bjo4O3vSmNy1J+64U8+0Hl8tFMpnkU5/6FDfeeCM7duzgU5/6FADf/e53F7/Bq9R8++Ff//Vfuf/++7nnnnu47rrr2LNnD/feey+9vb088MADS9JmkfPRmKcyNL6pHI1pKkfjmMrR2KUyFD7JRU1ORxwaGpp2fGhoiGg0OuP6aDQ649pcLsfY2BiNjY2L19ArwHz7Akpbst55553ce++93HXXXdxxxx2L3s7Vbr798MADD/Db3/6Wa665hmuuuYbbb78dgNe+9rX8r//1vxa/wavUQn42OZ3OaVPTvV4vbW1t2iL6Esy3H5544gnWrl1LMBgsH6uurmbt2rV0dXUtaltFLkZjnsrQ+KZyNKapHI1jKkdjl8pQ+CQXtXnzZoLBIPv37y8fSyQSHDx4kF27ds24fvfu3QwMDNDd3V0+NvnYa6+9dvEbvIrNty8A7rrrLn7wgx/wyU9+kttuu22pmrqqzbcfHn74YR588EG+973v8b3vfY+7774bgPvuu4+/+Iu/WLJ2rzbz7Yddu3aRz+d59tlny8cymQw9PT20t7cvSZtXo/n2Q1NTE93d3dOmtafTaU6fPq1+kIrTmKcyNL6pHI1pKkfjmMrR2KUyVHBcLsrtdnPrrbfyiU98gkgkQktLC/fccw/RaJSXv/zlFAoFYrEYoVAIr9fLzp07ufbaa3n/+9/Phz/8YQzD4EMf+hCvf/3r9S3gJZpvX3znO9/hoYce4q677mLPnj0MDw+Xn2vyGpm/+fbDuf8oTRY5bG5uVm2KSzDffti1axd/8Ad/wH/7b/+Nj3zkI9TU1PCZz3wGh8PBv//3/77SL2fFmm8/vP71r+cLX/gC73vf+8ofVD796U/jdrv5oz/6owq/GrnSacxTGRrfVI7GNJWjcUzlaOxSIZbIHOTzeevjH/+4tW/fPuvqq6+2br/9dqunp8eyLMvq6emxNm7caD3wwAPl60dGRqz3vOc91tVXX23t3bvX+tCHPmRlMplKNX9VmU9fvP3tb7c2btw4639T+0vmb75/J6Z69NFHrY0bN5avl4Wbbz8kk0nrQx/6kLV3715r586d1tvf/nbr+eefr1TzV4359sOxY8esd73rXdaePXusffv2We9+97v190GWDY15KkPjm8rRmKZyNI6pHI1dlp7Nsiyr0gGYiIiIiIiIiIisTqr5JCIiIiIiIiIii0bhk4iIiIiIiIiILBqFTyIiIiIiIiIismgUPomIiIiIiIiIyKJR+CQiIiIiIiIiIotG4ZOIiIiIiIiIiCwahU8iIiIiIiIiIrJoFD6JiIiIiIiIiMiiUfgkIiIiIiIiIiKLRuGTiIiIiIiIiIgsGoVPIiIiIiIiIiKyaP5/I8sNSWFNBK0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "# 设置绘图风格\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "# 使用PCA或t-SNE降维以便可视化\n",
    "def reduce_dimensions(matrix, method='pca', n_components=2):\n",
    "    if method == 'pca':\n",
    "        pca = PCA(n_components=n_components)\n",
    "        return pca.fit_transform(matrix)\n",
    "    elif method == 'tsne':\n",
    "        tsne = TSNE(n_components=n_components, random_state=42)\n",
    "        return tsne.fit_transform(matrix)\n",
    "    else:\n",
    "        raise ValueError(\"Method must be either 'pca' or 'tsne'.\")\n",
    "\n",
    "# 对TF-IDF和CountVectorizer的结果进行降维\n",
    "tfidf_pca_jieba = reduce_dimensions(tfidf_matrix_jieba, method='pca')\n",
    "tfidf_pca_thulac = reduce_dimensions(tfidf_matrix_thulac, method='pca')\n",
    "count_pca_jieba = reduce_dimensions(count_matrix_jieba, method='pca')\n",
    "count_pca_thulac = reduce_dimensions(count_matrix_thulac, method='pca')\n",
    "\n",
    "# 绘制TF-IDF对比图\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.scatterplot(x=tfidf_pca_jieba[:, 0], y=tfidf_pca_jieba[:, 1], alpha=0.5)\n",
    "plt.title('TF-IDF (Jieba)')\n",
    "plt.subplot(1, 2, 2)\n",
    "sns.scatterplot(x=tfidf_pca_thulac[:, 0], y=tfidf_pca_thulac[:, 1], alpha=0.5)\n",
    "plt.title('TF-IDF (THULAC)')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 绘制CountVectorizer对比图\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.scatterplot(x=count_pca_jieba[:, 0], y=count_pca_jieba[:, 1], alpha=0.5)\n",
    "plt.title('CountVectorizer (Jieba)')\n",
    "plt.subplot(1, 2, 2)\n",
    "sns.scatterplot(x=count_pca_thulac[:, 0], y=count_pca_thulac[:, 1], alpha=0.5)\n",
    "plt.title('CountVectorizer (THULAC)')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 对Word2Vec的结果进行降维\n",
    "word2vec_pca_jieba = reduce_dimensions(word2vec_matrix_jieba, method='pca')\n",
    "c = reduce_dimensions(word2vec_matrix_thulac, method='pca')\n",
    "\n",
    "# 绘制Word2Vec对比图\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.scatterplot(x=word2vec_pca_jieba[:, 0], y=word2vec_pca_jieba[:, 1], alpha=0.5)\n",
    "plt.title('Word2Vec (Jieba)')\n",
    "plt.subplot(1, 2, 2)\n",
    "sns.scatterplot(x=word2vec_pca_thulac[:, 0], y=word2vec_pca_thulac[:, 1], alpha=0.5)\n",
    "plt.title('Word2Vec (THULAC)')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d89a1729-e7da-4c56-bf35-1ae1e6599cca",
   "metadata": {},
   "source": [
    "# 特征工程"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "75af3f9c-5838-43c1-afa6-5ad9cac31bda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Word2Vec (THULAC)降维后的数据已保存到'word2vec_pca_thulac.csv'\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "# 设置绘图风格\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "# 使用PCA或t-SNE降维以便可视化\n",
    "def reduce_dimensions(matrix, method='pca', n_components=2):\n",
    "    if method == 'pca':\n",
    "        pca = PCA(n_components=n_components)\n",
    "        return pca.fit_transform(matrix)\n",
    "    elif method == 'tsne':\n",
    "        tsne = TSNE(n_components=n_components, random_state=42)\n",
    "        return tsne.fit_transform(matrix)\n",
    "    else:\n",
    "        raise ValueError(\"Method must be either 'pca' or 'tsne'.\")\n",
    "\n",
    "# 假设我们已经有以下矩阵（在实际应用中，你需要用你的Word2Vec矩阵替换这些）\n",
    "# 这里只是示例数据\n",
    "\n",
    "\n",
    "# 对Word2Vec的结果进行降维\n",
    "word2vec_pca_jieba = reduce_dimensions(word2vec_matrix_jieba, method='pca')\n",
    "word2vec_pca_thulac = reduce_dimensions(word2vec_matrix_thulac, method='pca')\n",
    "\n",
    "# 保存Word2Vec (THULAC)降维后的数据到CSV文件\n",
    "word2vec_pca_thulac_df = pd.DataFrame(word2vec_pca_thulac, columns=[f'PCA{i+1}' for i in range(word2vec_pca_thulac.shape[1])])\n",
    "word2vec_pca_thulac_df.to_csv('word2vec_pca_thulac.csv', index=False)\n",
    "\n",
    "# 绘制Word2Vec对比图（可选，仅用于验证）\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.scatterplot(x=word2vec_pca_jieba[:, 0], y=word2vec_pca_jieba[:, 1], alpha=0.5)\n",
    "plt.title('Word2Vec (Jieba)')\n",
    "plt.subplot(1, 2, 2)\n",
    "sns.scatterplot(x=word2vec_pca_thulac[:, 0], y=word2vec_pca_thulac[:, 1], alpha=0.5)\n",
    "plt.title('Word2Vec (THULAC)')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "print(\"Word2Vec (THULAC)降维后的数据已保存到'word2vec_pca_thulac.csv'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e37a40e0-59e0-4d2b-b6c7-84862a9bd1d2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2b81156e-dbfa-4095-9178-24eb4322af51",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5676707e-429b-4c5d-ad9e-bac5d8a94570",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "f026e7c4-9d8c-44a3-87f2-afda28c78a48",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model loaded succeed\n"
     ]
    }
   ],
   "source": [
    "import thulac\n",
    "import gensim\n",
    "from gensim.models import Word2Vec\n",
    "import numpy as np\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "# 初始化THULAC分词器\n",
    "thu = thulac.thulac(seg_only=True)\n",
    "\n",
    "# 示例文本数据\n",
    "texts = comments\n",
    "\n",
    "# 分词\n",
    "tokenized_texts = [thu.cut(text, text=True).split() for text in texts]\n",
    "\n",
    "# 训练Word2Vec模型\n",
    "model = Word2Vec(sentences=tokenized_texts, vector_size=100, window=5, min_count=1, sg=0)\n",
    "\n",
    "# 生成文本向量\n",
    "def text_to_vector(text, model):\n",
    "    words = thu.cut(text, text=True).split()\n",
    "    vectors = [model.wv[word] for word in words if word in model.wv]\n",
    "    if vectors:\n",
    "        return np.mean(vectors, axis=0)  # 简单平均作为文本向量\n",
    "    else:\n",
    "        return np.zeros(model.vector_size)  # 如果没有词向量，返回零向量\n",
    "\n",
    "text_vectors = [text_to_vector(text, model) for text in texts]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "9565cb33-0da9-4da5-b668-7c8aec592dbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['小朋友的奇妙世界',\n",
       " '哇塞，酷炫',\n",
       " '预约',\n",
       " '预约起来了',\n",
       " '等人少的时候再去，现在估计人很多',\n",
       " '哈哈',\n",
       " '',\n",
       " '笑死我了',\n",
       " '哈哈',\n",
       " '',\n",
       " '真的很少喝奶茶',\n",
       " '我也好久没喝过奶茶了',\n",
       " '一点点好喝',\n",
       " '我也很久没喝了',\n",
       " '现在只喝五分糖',\n",
       " '比较喜欢喝茶类哈哈',\n",
       " '我也是喜欢水果茶[黄鸡大笑]',\n",
       " '最近喝好多',\n",
       " '为什么这奶茶在你手里显得这么大一杯',\n",
       " '主播您好，您的照片同时出现了，红和蓝，请打藕饼标签哟',\n",
       " '奖励自己喝一杯',\n",
       " '同意，现在的奶茶🧋越来越多口味了',\n",
       " '好好好五一奖励自己',\n",
       " '喝喝喝！',\n",
       " '想喝！',\n",
       " '奶茶控的心声，真有同感啊！',\n",
       " '是的，超过15俺就不喝了',\n",
       " '心情不好，现在去点',\n",
       " '1',\n",
       " '我每天都喝[哪吒嘟嘴][哪吒嘟嘴][哪吒嘟嘴]',\n",
       " '下午好！铁铁',\n",
       " '新脑袋想问题就是不一样',\n",
       " '哈哈 宝宝问题多',\n",
       " '小朋友的爱心欢迎回踩',\n",
       " '加强型地铁',\n",
       " '五一节快乐',\n",
       " '哈哈，小朋友的好奇心真是无限大呀！告诉他，母鸡下蛋就像我们每天都要吃饭一样自然，只要好好照顾它们，鸡蛋就会源源不断地来~不过记得要教他尊重生命，不要真的去“偷”哦！',\n",
       " '你有买小米汽车吗？',\n",
       " '希望小米做大做强，越来越好',\n",
       " '雷军也太牛了吧  期待一下',\n",
       " '小米的发展真不错好厉害呀',\n",
       " '祝愿小米做大做强，',\n",
       " '小米的发展也好厉害呀',\n",
       " '哇',\n",
       " '这事业是越做做广了，好牛',\n",
       " '小米发展越来越好了不错啊真不错',\n",
       " '这么火爆，是有他道理的呀',\n",
       " '小米汽车真的越来越厉害了',\n",
       " '不得不说小米好给力',\n",
       " '小米真的越来越厉害了',\n",
       " '真的是非常优秀呀爱了',\n",
       " '真的太厉害了，谁会不喜欢呢',\n",
       " '有钱了一定要买',\n",
       " '真的很不错啊 非常心动呢',\n",
       " '小米汽车以后也一定会有更好的发展',\n",
       " '小米真的很不错，希望以后发展的越来越好',\n",
       " '真的是非常的厉害👍',\n",
       " '奶茶的世界诱惑太多，但健康第一，偶尔也要对自己说不哦~',\n",
       " '给你发个饿了么无门槛福利，没有套路扫码直接领15-15红包，全国通用，每天可领，爱点外卖的赶紧薅，领到了记得分享给其他人哈',\n",
       " '嗯嗯嗯',\n",
       " '是啊是啊',\n",
       " '对',\n",
       " '没错',\n",
       " '哦',\n",
       " '想喝就喝，生活就是要随心所欲嘛~',\n",
       " '好的',\n",
       " '好的',\n",
       " '好的',\n",
       " '关注健康',\n",
       " '是个不错的选择',\n",
       " '好强',\n",
       " '哈哈哈哈哈可以的',\n",
       " '哈哈哈哈笑死我了',\n",
       " '转发微博',\n",
       " '奶茶的热量',\n",
       " '转发微博',\n",
       " '干杯奶茶',\n",
       " '#奶茶再喝下去要上胰岛素了# 奶茶就是好喝！',\n",
       " '#奶茶再喝下去要上胰岛素了# 全糖全糖，我要全糖。',\n",
       " '奶茶喝多了身体负担重',\n",
       " '不能再喝了啊啊啊啊',\n",
       " '热量再高喜欢也挡不住',\n",
       " '奶茶我的最爱',\n",
       " '5公里约等于消耗300大卡',\n",
       " '一张图快速了解不同奶茶的热量',\n",
       " '奶茶控们，跑步减肥套餐上线啦！',\n",
       " '转发微博',\n",
       " '转发微博',\n",
       " '转发微博',\n",
       " '原来你和我有一样的困扰',\n",
       " '假期放飞自我，奶茶自由就是快乐的秘诀，睡得香甜更是生活的小确幸喵~',\n",
       " '小程序删不掉的哈哈哈',\n",
       " '奶茶控的日常，三杯不够，再来一杯！',\n",
       " '是这样的',\n",
       " '蒽对没错',\n",
       " '奶茶虽好，可不要贪杯哦~ 你的自律让人佩服！',\n",
       " '奶茶虽好，可不要贪杯哦~毕竟健康最重要，一个月一杯，听起来像是在实践“小确幸”哲学呢！',\n",
       " '假期享受生活',\n",
       " '少喝',\n",
       " '加油',\n",
       " '同感同感，以后咱们一起健康饮食，互相监督哦',\n",
       " '上班都那么辛苦了 喝几杯没事吧',\n",
       " '天呐，奶茶真的会让人发胖，要适度控制啊',\n",
       " '',\n",
       " '1. 黑糖奶茶是童年味道',\n",
       " '1. 奶茶里的糖分和卡路里一点都不低',\n",
       " '1',\n",
       " '睡醒来杯拿铁提提神',\n",
       " '七天七杯，奶茶成精了！',\n",
       " '奶茶哒咩',\n",
       " '不爱喝奶茶，我喜欢冰美式',\n",
       " '古茗快来东北开分店吧',\n",
       " '同感同感，夏天喝杯冰凉的奶茶真的超爽的！古茗的多肉葡萄我也超爱，希望他们能在全国各地都开分店这样我们就都能随时喝到啦！',\n",
       " '要一杯来哄自己',\n",
       " '饿了么BD，没有套路扫码直接领15-15红包，全国通用，每天可领，爱点外卖的赶紧薅，领到了记得分享给其他人哈',\n",
       " '',\n",
       " '',\n",
       " '',\n",
       " '减肥路上，奶茶虽好，可不要贪杯哦~ 换成一杯清爽的柠檬水也是不错的选择呢！',\n",
       " '珍珠奶茶的魅力，谁能抵挡？就一口，保证让你爱上这Q弹的口感，停不下来！',\n",
       " '哇塞，这优惠力度也太大了吧！你真是网购小能手，奶茶收割机啊！看看这多出来的一杯奶茶，简直就是幸福的味道呀～🥤🌟。 关注我，一起探索全新的世界哦！',\n",
       " '妹有',\n",
       " '我天天喝饮料，不只是奶茶',\n",
       " '那应该没有吧',\n",
       " '我喝我喝',\n",
       " '哈哈哈哈哈哈哈笑死我了',\n",
       " '每天喝快乐小甜水 ',\n",
       " '',\n",
       " '一杯足矣，无需贪杯，淡泊明志。',\n",
       " '奶茶控的自白：七种不喝的理由，你中了几个？',\n",
       " '我还是喜欢咖啡',\n",
       " '我也是不怎么喝',\n",
       " '我也是的已经不喝了',\n",
       " '我也是',\n",
       " '我不爱喝奶茶',\n",
       " '我也不经常喝',\n",
       " '我喜欢喝花茶，绿茶，红茶',\n",
       " '我也很久没喝了',\n",
       " '中午好o(^▽^)o',\n",
       " '不喝奶茶？那咖啡、果汁或者其他饮品总有一款是你的最爱吧~分享一下你的心水之选呗！毕竟，每个人都有自己的小确幸嘛~',\n",
       " '好一个七不喝',\n",
       " '周一到周日，奶茶都在放假吗？',\n",
       " '奶茶脑袋集合啦！不过这七不喝听起来像是要戒奶茶的节奏？我可做不到，奶茶是我的快乐水呀~你是啥脑袋呢？',\n",
       " '给你发个大红包吧，奶茶就几块钱饿了么BD，没有套路扫码直接领15-15红包，全国通用，每天可领，爱点外卖的赶紧薅，领到了记得分享给其他人哈',\n",
       " '没了就不喝 今天又要喝',\n",
       " '哈哈😂，我、哪哪都喜歡💕',\n",
       " '我想喝！！！',\n",
       " '中间那杯是啥',\n",
       " '怎能少的了奶茶的乐趣呢，每天上班必须来一杯，活力满满',\n",
       " '居居跟五五感觉是两个材质的mer',\n",
       " '刚点完奈雪',\n",
       " '七分堂吧，喝不了苦的',\n",
       " '小时候觉得爸妈不爱喝甜的是为了装x，现在自己也不太爱喝甜的了',\n",
       " '讲得非常不错非常棒非常好，下午好！',\n",
       " '关注一下',\n",
       " '午安',\n",
       " '中午好，支持博主',\n",
       " '我喜欢有奶盖的 现在小料不爱喝了哈哈哈哈哈哈',\n",
       " '这是真忍不住啊，我还是爱喝',\n",
       " '已经很久不喝奶茶了',\n",
       " '之前经常喝我喝腻了',\n",
       " '奶茶也有好喝与不好喝的',\n",
       " '奶茶多难喝啊 又不健康',\n",
       " '只喜欢喝果茶',\n",
       " '谁能拒绝奶茶？根本拒绝不了，换着喝，变着花样喝',\n",
       " '昨天刚喝呢',\n",
       " '奶茶算啥，爷我喝酒都挑好货，芒果酸奶看着还行，得劲！',\n",
       " '老了不爱喝甜水了',\n",
       " '好久没有喝奶茶了',\n",
       " '#奶茶我有七不喝#根本控制不住喝奶茶。天天都想喝。',\n",
       " '太甜了',\n",
       " '喜欢奶茶  但是减肥控糖',\n",
       " '奶茶一直很好喝',\n",
       " '我忍不住 我是真爱喝',\n",
       " '好羡慕这种状态，还是很爱喝奶茶怎么办',\n",
       " '为了减肥，忍住不喝',\n",
       " '我一直不爱喝奶茶',\n",
       " '看完，赶紧来杯奶茶压压惊',\n",
       " '我就爱喝个柠檬水',\n",
       " '哈哈，喝个奶茶还有这多讲究啊',\n",
       " '哈哈这也太有意思了',\n",
       " '第7条好搞笑',\n",
       " '奶茶我不喝啊',\n",
       " '哈哈哈哈哈这太有意思了',\n",
       " '奶茶还是少喝',\n",
       " '我喜欢喝珍珠奶茶',\n",
       " '太喜欢喝奶茶了',\n",
       " '我特别喜欢喝奶茶',\n",
       " '喝个奶茶原来这么有意思',\n",
       " '我不喝奶茶',\n",
       " '没发朋友圈的奶茶，喝了等于没喝',\n",
       " '喝个奶茶也这么多乐趣',\n",
       " '从今天开始我也不喝了',\n",
       " '奶茶我咋也行',\n",
       " '美食诱惑，吃饱了再努力减肥！',\n",
       " '所以哪个奶茶好喝',\n",
       " '我看着都想喝',\n",
       " '對啊對啊奶茶太好喝了',\n",
       " '我每天都想喝好好喝',\n",
       " '正在喝',\n",
       " '快乐肥水谁不爱',\n",
       " '现在正在喝',\n",
       " '我甚至一天喝两杯',\n",
       " '好喝',\n",
       " '我每天都想喝尤其是现在各个平台打架太便宜了',\n",
       " '来一杯一丢丢',\n",
       " '不喝奶茶感觉少了好多快乐',\n",
       " '喜欢喝茶颜悦色',\n",
       " '算老几我想喝一点点🤏🏻🤏🏻🤏🏻',\n",
       " '血液里流淌的是奶茶🧋我帮不能没有奶茶',\n",
       " '哈哈哈哈哈哈真的忍不住',\n",
       " '好喝～我都喝黑糖珍珠鮮奶',\n",
       " '',\n",
       " '啊，昨天21点喝了一点点，5点半睡着的',\n",
       " '我现在正在喝',\n",
       " '好喝啊啊啊啊',\n",
       " '好久没喝奶茶🧋了',\n",
       " '奶茶要是这么讲究，下次喝前得先做份问卷调查了~',\n",
       " '',\n",
       " '戒奶茶？那岂不是要从我的冷萃冰博克开始戒起，不过健康第一嘛，共勉之！',\n",
       " '就来了[蕾缪安]',\n",
       " '蹭',\n",
       " '中了茶颜的毒，一周不喝心慌',\n",
       " '一周七天，还有哪天能喝奶茶',\n",
       " '一周喝一次问题不大',\n",
       " '',\n",
       " '看来你对奶茶的爱，比这炎热的天气还要炽热呢！不过记得适量哦，健康第一~',\n",
       " '饿了么BD，没有套路扫码直接领15-15红包，全国通用，每天可领，爱点外卖的赶紧薅，领到了记得分享给其他人哈自己偷偷用大红包怎么不带带别人呢哈哈哈',\n",
       " '',\n",
       " '',\n",
       " '',\n",
       " '',\n",
       " '喝了就别怕',\n",
       " '哈哈哈，这简直是奶茶戒断日记啊！不过，换种口味也不错，生活嘛，就是要多点尝试~',\n",
       " '求解',\n",
       " '是我喜欢的味道',\n",
       " '看着很好喝',\n",
       " '看起来好好喝',\n",
       " '涨知识了涨知识了',\n",
       " '感觉很好喝',\n",
       " '学会了改天试试',\n",
       " '看着就好喝',\n",
       " '我超级爱喝',\n",
       " '奶茶我全都喝',\n",
       " '感觉很适合夏天喝',\n",
       " '看着就好喝',\n",
       " '看着就好喝',\n",
       " '每天想喝是因为奶茶的魅力太大啦，不过记得要适量哦，毕竟健康第一',\n",
       " '请我喝',\n",
       " '谁不爱一点点',\n",
       " '我也喜欢',\n",
       " '苹果奶绿🍎！！！！',\n",
       " '还有奶绿装芒🥭！！！',\n",
       " '下次试试[种树]',\n",
       " '我也喜欢一点点',\n",
       " '好好好好我也喝',\n",
       " '周日不喝是怕周一打工人变奶茶人？',\n",
       " '配送规则确是无奈，愿你下次点单顺利，奶茶香甜依旧。',\n",
       " '饿了么BD，没有套路扫码直接领15-15红包，全国通用，每天可领，爱点外卖的赶紧薅，领到了记得分享给其他人哈这样子能配送了吧',\n",
       " '125436789',\n",
       " '123456789',\n",
       " '哇，学会咯',\n",
       " '只喝免费的',\n",
       " '我也是',\n",
       " '不错不错',\n",
       " '我也是',\n",
       " '不错不错',\n",
       " '我也是',\n",
       " '不错不错',\n",
       " '不错不错',\n",
       " '我也是诶',\n",
       " '我也是',\n",
       " '我就这样',\n",
       " '真的不错',\n",
       " '不敢喝太甜的。',\n",
       " '这个巨好喝',\n",
       " '这歌词转得，懒羊羊都听懵了，啥时候奶茶变情歌了？',\n",
       " '转发微博',\n",
       " '#奶茶我有七不喝# 但我基本上都喜欢',\n",
       " '大陆奶茶',\n",
       " '#奶茶再喝下去要上胰岛素了# 奶茶就是好喝！',\n",
       " '#奶茶再喝下去要上胰岛素了# 全糖全糖，我要全糖。',\n",
       " '奶茶好喝也要少喝',\n",
       " '这个天天喝太多真不好',\n",
       " '也要控制一下点单的手哦',\n",
       " '扒一扒奶茶那些不为人知的 “前世今生”！',\n",
       " '“奶茶控”的前世今生，喝对了吗？',\n",
       " '转发微博',\n",
       " '哈哈，看来你是真爱粉啊！每天一杯，快乐加倍不过也要注意健康哦~',\n",
       " '奶茶七不喝，你这是要成仙了？一周没喝上，是不是已经开始想念那口香甜了呢？',\n",
       " '111',\n",
       " '哈哈，这简直就是奶茶版的《一周养生法》嘛~',\n",
       " '这组奶茶图让我口水直流，但‘七不喝’的你真是个有原则的小可爱！果茶也不失为好选择。',\n",
       " '我也喜欢喝果茶',\n",
       " '奶茶会添加直指末',\n",
       " '我也觉得果茶好喝',\n",
       " '喝喝喝',\n",
       " '哇塞很不错',\n",
       " '图5看着不错',\n",
       " '一天一杯开心每一天',\n",
       " '一天一杯小甜水',\n",
       " '每天快乐来源之一',\n",
       " '@高猛山shan 上午好',\n",
       " '用完优惠券，给我的小料好少。',\n",
       " '好喝，爱喝。',\n",
       " '从小甜水到高端品牌，你的奶茶之路越走越精致呀~不过记得偶尔也要给身体放个假哦，毕竟健康第一嘛',\n",
       " '实则天天喝。',\n",
       " '笔误，纠正一下是600毫升水。',\n",
       " '怎么这么便宜',\n",
       " '昨天刚喝',\n",
       " '这是我喝过最好喝的柠檬茶',\n",
       " '茶救星球真是宇宙超级无敌好喝，冰冰凉凉秒解辣，夏天的快乐全靠它！你这发现太棒啦，味蕾的小确幸～',\n",
       " '自己可以做',\n",
       " '我也很喜欢喝',\n",
       " '冰奶茶真的很爽！',\n",
       " '我也喜欢喝',\n",
       " '又到了喝冷饮的季节',\n",
       " '我也喜欢喝',\n",
       " '自我调侃以及奶茶替代趋势',\n",
       " '看的我想尝尝了',\n",
       " '夏天喝柠檬茶真的好清爽',\n",
       " '我也不怎么喝奶茶。',\n",
       " '挺不错的👍',\n",
       " '涨知识了涨知识了',\n",
       " '我喜欢和白开水',\n",
       " '我也喜欢喝同款',\n",
       " '继续更新呀，我还没看够',\n",
       " '中午好',\n",
       " '我也去试一试。',\n",
       " '嘿嘿嘿，那我也不喝',\n",
       " '中午好，晚点就去试试这个做法',\n",
       " '第三张，太魔性了受不了',\n",
       " '浮白饮？猫猫同款饮料哦~',\n",
       " '啊啊啊我好喜欢红豆',\n",
       " '我也是 不爱吃红豆',\n",
       " '1',\n",
       " '生活',\n",
       " '先赞后看',\n",
       " '',\n",
       " '一方角落，岁月时光相伴，人间烟火中尽是惬意，令人向往。',\n",
       " '火塘烤茶',\n",
       " '不爱喝爷爷不泡茶，上次给我难喝到了',\n",
       " '夏天我都喝柠檬水',\n",
       " '我要喝我要喝',\n",
       " '想喝',\n",
       " '这个看起来不错',\n",
       " '我爱喝果茶',\n",
       " '我喜欢这个',\n",
       " '我基本不喝奶茶 我只喝热水',\n",
       " '哇塞今天可以试一试',\n",
       " '我还没喝过这个',\n",
       " '果茶确实不错',\n",
       " '这个看着就很好喝',\n",
       " '感觉很好喝呢',\n",
       " '我全部不喝',\n",
       " '哎呀，这个这么好看的，我也想去喝一喝',\n",
       " '真的不要太清爽',\n",
       " '有机会我也试一下',\n",
       " '我也很喜欢喝',\n",
       " '对呀，确实很清爽',\n",
       " '',\n",
       " '',\n",
       " '',\n",
       " '可以可以',\n",
       " '哇，期待期待',\n",
       " '哇塞',\n",
       " '哇塞，这奶茶优惠也太大了吧！你看你，不仅喝到了美味的奶茶，还get到了超值的满减券，简直人生赢家啊！这运气，我给100分！🎉🎊。 关注我，一起探索全新的世界哦！',\n",
       " '同感同感！晚上一杯奶茶，整晚数羊到天明',\n",
       " '周一到周日，奶茶都别喝，努力最重要！',\n",
       " '他们打起来打起来',\n",
       " '哇塞改天我也要薅这个羊毛',\n",
       " '3',\n",
       " '2',\n",
       " '1',\n",
       " '本座亦青睐此博主，甚合本座之意。',\n",
       " '我爱吃',\n",
       " '就是要红豆加加加加到厌倦',\n",
       " '高糖高脂高添加剂',\n",
       " '1',\n",
       " '是的是的',\n",
       " '我也是',\n",
       " '我也是这样',\n",
       " '是这样的哈哈哈',\n",
       " '太贵也不喝',\n",
       " '那还有什么能喝的',\n",
       " '我也是',\n",
       " '哈哈哈哈 会说',\n",
       " '周一想死的心都有，喝杯奶茶阻止的危险想法。周二熬过了周一，喝杯奶茶奖励自己。周三不尴不尬，距周末还远，喝杯奶茶鼓励自己。周四再坚持一下，喝杯奶茶犒劳自己。周五终于熬到了最后一天，喝杯奶茶提前感受周末的甜。周六周末第一天，必须来杯奶茶好好庆祝一番。周日也是周末，喝杯奶茶，快乐加倍！',\n",
       " '奶茶我有七个理由喝',\n",
       " '特别的有意思 找理由呗',\n",
       " '每个大学生都是如此吗？',\n",
       " '喝奶茶才会更开心呀，不理解哦',\n",
       " '反过来恰恰是我每天都喝奶茶的原因',\n",
       " '@是一根老油条 怎么讲',\n",
       " '上班同理，有七不想，周一到周五不想上班，周六周日不想加班#奶茶我有七不喝#',\n",
       " '味道一言难尽从此对奶茶失去兴趣',\n",
       " '这说的的确是我想要做的呢。',\n",
       " '确实是不理解，喝奶茶才会开心。',\n",
       " '这确实是非常的抽象呢。',\n",
       " '真是各种理由层出不穷',\n",
       " '这简直是太抽象了吧，哈哈。',\n",
       " '哈哈 这些原因真是挺抽象的 挺有意思',\n",
       " '哈哈 这个原因也太抽象了吧',\n",
       " '我现在只有一个理由，是植脂末，喝了发胖难代谢！！！',\n",
       " '@二十六号小尾巴',\n",
       " '我几乎不喝奶茶，“过夜水果+添加剂”双重buff叠加成全了我的自律#奶茶我有七不喝#',\n",
       " '那为什么奶茶店还开这么多，还那么好生意？难道那些都是不年轻的人喝',\n",
       " '佩服你的毅力！我还在努力戒奶茶的路上，求带飞~',\n",
       " '蓝莓果粒茶，这诱惑谁能挡得住呀~不过记得奶茶虽好，也不要贪杯哦，毕竟健康最重要！',\n",
       " '你不胖尽情喝',\n",
       " '哈哈哈哈喝',\n",
       " '奶茶在手，快乐我有ʕ•̫͡• ʔ•̫͡•ཻʕ•̫͡•ʔ',\n",
       " '我都要喝嘻嘻',\n",
       " '1',\n",
       " '我是奶茶激推',\n",
       " '涨知识了涨知识了',\n",
       " '奶茶真的很好喝',\n",
       " '我爱喝奶茶',\n",
       " '奶茶很好喝',\n",
       " '那咋了哈哈哈',\n",
       " '哈哈哈哈那咋了',\n",
       " '开心最重要',\n",
       " '对 开心最重要',\n",
       " '健康饮料新选择，比奶茶更清新！',\n",
       " '怎么这么便宜？！',\n",
       " '哈哈哈',\n",
       " '便宜',\n",
       " '你好，你感兴趣的“一天一杯奶茶”已开通了超话社区～ 超话社区是微博旗下兴趣互动社区，快来与志同道合的小伙伴们一起交流互动吧！ 戳我进入&gt;&gt; 一天一杯奶茶',\n",
       " '哇塞，奶茶控的福音啊！你这是抢券小能手吧，每天都能喝到不同口味的奶茶，简直是幸福感爆棚！看你的配图，每一杯都让人垂涎欲滴，淘宝闪购真是帮了大忙，夸你一句“奶茶达人”不过分吧！🥤💖。 关注我，一起探索全新的世界哦！',\n",
       " '奶茶的魅力真是让人难以抗拒啊，偶尔放纵一下也是生活的调味品嘛~',\n",
       " '偶尔喝罢了',\n",
       " '想喝🤤🤤🤤',\n",
       " '安全第一',\n",
       " '只是偶尔喝',\n",
       " '都很喜欢喝',\n",
       " '对啊，偶尔喝就行',\n",
       " '很爱喝',\n",
       " '杨枝甘露特别好喝',\n",
       " '真的很不错',\n",
       " '偶尔没事',\n",
       " '喜欢喜茶的椰椰芒芒',\n",
       " '奶茶虽好，可不要贪杯哦~午后的清醒全靠它了！话说回来，你的七不喝原则里，还有哪些秘密武器？',\n",
       " '',\n",
       " '兄弟们不要太狭隘了',\n",
       " '[哪吒嘟嘴]',\n",
       " '啊啊啊花生碎正确的！！！',\n",
       " '葡萄干对',\n",
       " '',\n",
       " '444',\n",
       " '333',\n",
       " '222',\n",
       " '111',\n",
       " '葡萄干好吃啊，花生碎是不行',\n",
       " '花生碎和葡萄干，这组合确实挺考验勇气的',\n",
       " '这个可以有',\n",
       " '还有这么多说法？',\n",
       " '看起来好像抹茶[好运连连]',\n",
       " '奶茶虽好，可也要适量哦~这七不喝真是让人深思呢！',\n",
       " '奶茶七不喝，我只爱自己！',\n",
       " '1',\n",
       " '蹭上了',\n",
       " '果茶清新又解渴，健康满分！不过奶茶偶尔来一杯，生活的小确幸嘛~',\n",
       " '1',\n",
       " '可以',\n",
       " '想喝',\n",
       " '好想喝啊',\n",
       " '哇哈哈那个奶茶里面还有葡萄干葡萄干最难吃',\n",
       " '我不爱',\n",
       " '我爱吃',\n",
       " '我爱吃',\n",
       " '红豆特别好吃啊',\n",
       " '我爱吃',\n",
       " '之前寒假工做这个，几乎我全雷',\n",
       " '高兴',\n",
       " '看起都好喝啊',\n",
       " '喜欢木瓜味冰淇淋奶茶',\n",
       " '真的很好喝',\n",
       " '没喝过好想尝尝',\n",
       " '看起来很好喝呀',\n",
       " '我真的超喜欢喝奶茶',\n",
       " '不就是星冰乐吗',\n",
       " '等我去试试',\n",
       " '看起来很好喝',\n",
       " '好的好的码住了',\n",
       " '看着就很好喝',\n",
       " '真的超级喜欢喝',\n",
       " '看起来不错',\n",
       " '看起来很好喝',\n",
       " '真的太绝啦',\n",
       " '真的很不错',\n",
       " '原来是这样',\n",
       " '感谢分享',\n",
       " '我也喜欢这个',\n",
       " '码住了',\n",
       " '我好喜欢喝芒果',\n",
       " '这个打开方式真的好有意思',\n",
       " '我不喜欢喝奶茶',\n",
       " '你要是没有灯光变色那一瞬间，我就信了',\n",
       " '哈哈哈哈奶茶变成糖葫芦',\n",
       " '哈哈哈 这操作惊呆了呢',\n",
       " '真人才，哈哈',\n",
       " '这个方法不错哦',\n",
       " '这个打开方式学到了',\n",
       " '果然都是人才啊',\n",
       " '哇塞这个办法好',\n",
       " '原来你这样喝奶茶呀',\n",
       " '呜呜呜好贴心，学到啦',\n",
       " '这个方法还真不错',\n",
       " '这个喝法很可以',\n",
       " '假的很，就这么伸进去，牙签这么巧就能戳到每个珍珠',\n",
       " '技术不行，一眼看穿',\n",
       " '转发微博',\n",
       " '这摆拍摆的',\n",
       " '居然这么牛的吗？',\n",
       " '假的，镜头切换了',\n",
       " '奶茶的世界那么大，每一种都有它的独特魅力呀~不过记得适量，健康第一哦！',\n",
       " '5.1快乐，互铁互赞呀',\n",
       " '周周挑战，奶茶君都难倒你啦！',\n",
       " '七不喝就是一周不喝',\n",
       " '喝了有负担',\n",
       " '那给你发个大红包吧，几块钱一杯奶茶饿了么BD，没有套路扫码直接领15-15红包，全国通用，每天可领，爱点外卖的赶紧薅，领到了记得分享给其他人哈',\n",
       " '我喜欢古茗的杨枝甘露',\n",
       " '中间那个无法接受 其他的我可以',\n",
       " '红豆我最最讨厌',\n",
       " '一口闷',\n",
       " '哈哈哈哈',\n",
       " '不白不喝，五粮液也抽象了！',\n",
       " '哈哈，你这是奶茶界的“大胃王”啊！不过记得偶尔也要给身体放放假哦~',\n",
       " '我也想喝',\n",
       " '奶茶我有七喝',\n",
       " '好喝吗',\n",
       " '这么便宜！你怎么每次都能薅到',\n",
       " '我真的很少喝',\n",
       " '奶茶我天天喝',\n",
       " '哈哈，我不怎么喝',\n",
       " '真的假的🙃🙃',\n",
       " '是的',\n",
       " '好好好以后就这样学',\n",
       " '哈哈哈喝起来',\n",
       " '是啊！奶茶戒不了一点',\n",
       " '就是呀',\n",
       " '我就很少喝',\n",
       " '我喝的少',\n",
       " '我不喝奶茶',\n",
       " '我不会天天喝，一个月估计喝上五六次差不多',\n",
       " '哈哈',\n",
       " '我都快半个月没喝奶茶了',\n",
       " '这是我生活的一点甜，必须喝',\n",
       " '哈哈哈',\n",
       " '奶茶不喝？你确定？精神食粮呢！',\n",
       " '🤗[五一台历][菲亚梅塔]',\n",
       " '确实是的',\n",
       " '说的太对了！',\n",
       " '确实是这样',\n",
       " '我也喜欢喝便宜的奶茶',\n",
       " '真的是非常的有意思',\n",
       " '反正我是从来不喝',\n",
       " '',\n",
       " '真的有这么便宜吗？你们在哪里领的券',\n",
       " '这跟没花钱根本没啥区别好吧',\n",
       " '这波福利来袭不容错过',\n",
       " '淘宝真的太给力了，赶紧冲',\n",
       " '个位数的奶茶，这是真的香',\n",
       " '这个活动一定要参加起来啊',\n",
       " '太幸福啦吧，个位数点奶茶，我先冲一波',\n",
       " '没想到现在喝奶茶居然还有这么大的优惠～',\n",
       " '商战成全了我 饿了么也太划算了',\n",
       " '这样香的价格我是不可能错过的',\n",
       " '冲冲冲我就喜欢这样的白嫖福利',\n",
       " '这么便宜那肯定不能错过',\n",
       " '这样子的价格太让人心动了',\n",
       " '',\n",
       " '不行要天天喝',\n",
       " '茉莉奶绿大粉',\n",
       " ': 支持雪永一茉莉奶绿',\n",
       " '支持雪永一茉莉奶绿',\n",
       " '茉莉奶绿，听上去倒是挺清新，有机会尝尝。',\n",
       " '我刚好相反。',\n",
       " '笑死了',\n",
       " '奶茶七不喝？周末我要喝个够！',\n",
       " '喝喝喝',\n",
       " '真的是已经在喝了',\n",
       " '一天一杯怎么办怎么办',\n",
       " '哈哈哈哈',\n",
       " '我是真爱喝',\n",
       " '哈哈哈哈哈哈哈哈哈哈',\n",
       " '假期愉快',\n",
       " '早上好呀',\n",
       " '午安哦果果',\n",
       " '中午好，粥粥[給你小心心]',\n",
       " '中午好粥粥',\n",
       " '中午好，支持博主',\n",
       " '粥粥宝贝中午好呀，假期愉快呀',\n",
       " '中午好呀',\n",
       " '粥粥 中午好呀',\n",
       " '小天师午安',\n",
       " '中午好呀',\n",
       " '中午好粥粥',\n",
       " '元气满满的一天',\n",
       " '中午好♪(´∇`*)',\n",
       " '持之以恒做善事，内心安宁得一世。心存善念，是人生最美的风景，让我们安心享受每一个瞬间。',\n",
       " '假期愉快啊小天师',\n",
       " '粥粥下午好啊',\n",
       " '中午好粥粥',\n",
       " '粥粥下午好',\n",
       " '假期愉快呀',\n",
       " '根本忍不住。一星期十几杯',\n",
       " '同求',\n",
       " '同求',\n",
       " '完全和我一样',\n",
       " '22',\n",
       " '11',\n",
       " '饿了么BD，没有套路扫码直接领15-15红包，全国通用，每天可领，爱点外卖的赶紧薅，领到了记得分享给其他人哈',\n",
       " '坚持就是胜利，每天的小奖励让自律也变得甜蜜起来啦！加油，奶茶控们~',\n",
       " '饿了么BD，没有套路扫码直接领15-15红包，全国通用，每天可领，爱点外卖的赶紧薅，领到了记得分享给其他人哈',\n",
       " '啊？我超爱一点点',\n",
       " '这觉悟够我一直学了',\n",
       " '阿这',\n",
       " '完了，我刚点了一杯奶茶',\n",
       " '加油哦！戒奶茶之路不易，但健康最重要！',\n",
       " '神特么七不喝哈哈哈哈哈哈哈哈哈哈哈',\n",
       " '奶茶我有七不喝，你呢？',\n",
       " '姐妹在义乌？？',\n",
       " '喝奶茶，快乐加倍，健康减半！',\n",
       " '给我喝喝',\n",
       " '看起来不错',\n",
       " '好喝不',\n",
       " '工作后一杯好喝的无疑是令人很舒缓的！工作后的盛一伦也不例外！@盛一伦 ',\n",
       " '哈哈哈哈奶茶精🧋',\n",
       " '五月的气温将会越来越高，盛一伦会怎样度过？@盛一伦 ',\n",
       " '昔日只爱喝奶茶的盛一伦现在也喜欢喝咖啡了！@盛一伦 ',\n",
       " '奶茶虽好，可不要贪杯哦~偶尔放纵一下也是生活的小确幸嘛！',\n",
       " '🉑有理',\n",
       " '4',\n",
       " '3',\n",
       " '2',\n",
       " '1',\n",
       " '逛街喝奶茶，快乐源泉呀~下次一起吧！',\n",
       " '奶茶当前，谁又能抵挡得住诱惑呢？不过适量享受，健康第一哦~',\n",
       " '沪上阿姨好喝',\n",
       " '酸奶爱好者在这里！其实有时候换换口味，来点酸奶也挺好的，对身体也好～我们可以组个酸奶小分队',\n",
       " 'OK',\n",
       " '好的，就这么办',\n",
       " '好的呀，学到了',\n",
       " '对啊',\n",
       " '知道拉',\n",
       " '感谢分享',\n",
       " '学会了',\n",
       " '谢谢分享',\n",
       " '好的👌🏻去整一杯',\n",
       " '做一个我尝尝',\n",
       " '喝起来喝起来',\n",
       " '哈哈哈哈哈学会啦，以后自己做',\n",
       " '自制奶茶真不错！',\n",
       " '自己做的更放心',\n",
       " '在家做过一次，真的好喝又健康',\n",
       " '奶茶我全不喝',\n",
       " '日安朋友💝',\n",
       " '你真的很棒',\n",
       " '虽然花会零落，但会重开',\n",
       " '文章太棒了文章太棒了',\n",
       " '谢谢你的分享✨',\n",
       " '一起做起来',\n",
       " '不错，不用买外面的奶茶了',\n",
       " '谢谢你的分享✨',\n",
       " '谢谢你的分享✨',\n",
       " '不错，不用买外面的奶茶了',\n",
       " '文章太棒了文章太棒了',\n",
       " '不错，不用买外面的奶茶了',\n",
       " '不错，不用买外面的奶茶了',\n",
       " '宝宝最喜欢喝什么',\n",
       " '奶茶的魅力真是让人难以抗拒啊，不过偶尔也要记得给身体放个假，比如...喝水？开玩笑啦，一切都要适量嘛~',\n",
       " '做不到',\n",
       " '向工作人员致敬',\n",
       " '- 打的雨更重了, 还是说, 打的雨更重了?',\n",
       " '奶茶确实热量高，多吃不利于健康。喜欢就喝自己喜欢的，但也要注意适量。',\n",
       " '可以选无糖的',\n",
       " '健康为上，奶茶偶尔享受，日常注重健康饮食。',\n",
       " '嗯对',\n",
       " '来教教我，你是怎么说服自己不喝奶茶的？我可以戒零食，戒烧烤火锅，奶茶是真戒不掉',\n",
       " '',\n",
       " '',\n",
       " '',\n",
       " '我也想喝保姆做的奶茶',\n",
       " '',\n",
       " '',\n",
       " '',\n",
       " '',\n",
       " '',\n",
       " '我也是 还有冰激凌',\n",
       " '我比较喜欢喝果茶吧',\n",
       " '夏天和柠檬水简直绝配',\n",
       " '夏天喝柠檬水太爽了',\n",
       " '出去玩的时候会喝',\n",
       " '柠檬水好好喝',\n",
       " '我都喜欢喝',\n",
       " '夏天喝柠檬水很爽的',\n",
       " '柠檬水好喝',\n",
       " '加一，我也喜欢柠檬水',\n",
       " '@难道坚持',\n",
       " '我也喜欢喝',\n",
       " '喝咖啡想睡觉',\n",
       " '原来喝奶茶有那么多讲究啊',\n",
       " '只要不是奶茶迷，喝什么奶茶都可以',\n",
       " '想要健康的奶茶，得自己调，怎么买便宜怎么买',\n",
       " '现在奶茶都敢偷工减料了',\n",
       " '我觉得奶茶只要口感好，成分干净，适量饮用就没问题',\n",
       " '确实好喝又健康，可以多喝喝',\n",
       " '学到了，我要好好喝茶！',\n",
       " '要想健康，还是要减少糖分摄入',\n",
       " '这奶茶也太养生了，美味又能健康',\n",
       " '不管什么奶茶，能拒绝的都是健康款',\n",
       " '字面意思是对的，实际上啥也不是',\n",
       " '想要健康，就得学会拒绝奶茶',\n",
       " '原来喝奶茶有那么多讲究',\n",
       " '我天天喝奶茶，为啥没啥感觉',\n",
       " '我要喝标准的奶茶',\n",
       " '牛奶＋茶，我想不出有其他的',\n",
       " '要想健康，就得拒绝糖分',\n",
       " '感觉就是牛奶和茶的组合但是我喝了之后晚上会腹泻',\n",
       " '还是想吃加上牛奶的奶茶',\n",
       " '原来喝奶茶还有这么多讲究呢！',\n",
       " '1',\n",
       " '3',\n",
       " '2',\n",
       " '1',\n",
       " '就喝就喝',\n",
       " '这位小哥，你这是要成为“茶神”啊！每天一杯，是想把奶茶店都尝个遍吗？快分享你的“奶茶攻略”，让我们一起get同款快乐源泉吧！',\n",
       " '奶茶控？老祖宗的茶才是正解！少糖多健康，身体更轻松。',\n",
       " '少喝奶茶',\n",
       " '一定要多多注意一下健康',\n",
       " '真的是学到了很多',\n",
       " '我奶茶都很喜欢喝呢',\n",
       " '真是啊，咱们就是这么一看',\n",
       " '确实是这样的',\n",
       " '奶茶特别好喝，非常喜欢',\n",
       " '两口就腻了',\n",
       " '确实奶茶很好喝啊',\n",
       " '我是从来不喝奶茶',\n",
       " '高糖对身体确实是不好',\n",
       " '555',\n",
       " '444',\n",
       " '333',\n",
       " '222',\n",
       " '111',\n",
       " '3',\n",
       " '2',\n",
       " '1',\n",
       " '',\n",
       " '不能苦了自己',\n",
       " '',\n",
       " '乡村风景',\n",
       " '好漂亮。我也喜欢大自然的气息。五二快乐',\n",
       " '乡下风景真养眼，娃儿乐得忘了奶茶！',\n",
       " '这片土地我爱的深沉',\n",
       " '',\n",
       " '没喝过',\n",
       " '我就不喝',\n",
       " '我还是喝矿泉水吧',\n",
       " '我没钱喝',\n",
       " '星期八',\n",
       " '忍得住啊',\n",
       " '喜欢就喝点大佬',\n",
       " '确实',\n",
       " '对',\n",
       " '我就不喝奶茶',\n",
       " '奶茶控的小宇宙，爆发吧！星期八的幸福，就藏在那杯甜蜜里～',\n",
       " '喝的少了',\n",
       " '我一年都不到十次',\n",
       " '我昨天刚喝一杯，今天先不喝了',\n",
       " '我喝不了，喝一次拉一晚上，所以不敢喝',\n",
       " '没事',\n",
       " '喝吧',\n",
       " '可以',\n",
       " '不喝',\n",
       " '连续两天喝了',\n",
       " '哈哈哈哈哈',\n",
       " '我也是偶尔喝',\n",
       " '尽量控制少喝',\n",
       " '好喝',\n",
       " '我喜欢奶茶',\n",
       " '偶然喝',\n",
       " '好喝的',\n",
       " '来了',\n",
       " '不错',\n",
       " '怕清醒到第二天早上',\n",
       " '晚上喝奶茶确实容易失眠，不过偶尔放纵一下也挺好的，生活嘛，就是要有点甜',\n",
       " '我也是，喝什么都不解渴',\n",
       " '奶茶我只有一不喝，一个都不喝',\n",
       " '我一般喝水',\n",
       " '我喜欢一点点🤏',\n",
       " '我都喜欢喝',\n",
       " '',\n",
       " '霸王茶姬',\n",
       " '喜茶',\n",
       " '我喜欢蜜雪冰城 便宜实惠',\n",
       " '完啦，我都喝',\n",
       " '蜜雪冰城',\n",
       " '我都喜欢',\n",
       " '奶茶我有七不喝这七个都不喝',\n",
       " '蜜雪冰城和书亦',\n",
       " '快乐柠檬绝绝子',\n",
       " '我是桂馥兰香的忠实粉丝',\n",
       " '沪上阿姨啊',\n",
       " '霸王茶姬呀',\n",
       " '霸王茶姬',\n",
       " '喜茶',\n",
       " '喜茶吧',\n",
       " '@住在月亮上的影子R @芋泥奶茶蛋黄酥 @I鱼我所欲也I @蛋糕露_77 @呼噜噜噜噜_55 @听说某人会飞_ @私藏月亮o_o @高鼻梁是我心头爱 @赵露思全天下最好的小女娘 @Zerrr8 @我滴大乖露 @小粽知@Allthebest-Juliet @爱过的感觉太深刻我都记得 @总幻想你能懂 @kat-233333  来，来财',\n",
       " '上班累了来一杯 放假休息来一杯 吃饭好渴来一杯',\n",
       " '哈哈哈',\n",
       " '我想喝也喝不着啊',\n",
       " 'Ok',\n",
       " '坏了，我不喝坏了的奶茶',\n",
       " '不能不喝，那是奶茶吗？那是我的血库',\n",
       " '刚喝完一杯',\n",
       " '坏了 我每天都有理由喝',\n",
       " '就我觉得超级像晨曦姐姐吗救命',\n",
       " '甜啦啦的圣代是实心！！！！！！',\n",
       " '你们觉得茶百道的啥好喝！跟我说！',\n",
       " '还有小卡啊这么可爱',\n",
       " '可爱小丸子',\n",
       " '萌萌哒',\n",
       " '好可爱',\n",
       " '[哪吒嘟嘴][哪吒嘟嘴]',\n",
       " '好多小卡！',\n",
       " '奶茶虽好，可也不要贪杯哦~偶尔奖励自己一杯，生活的小确幸就藏在这些小细节里~',\n",
       " '奶茶的魅力就像魔法一样，让人无法抗拒~不过记得偶尔也要给身体放个假哦！',\n",
       " '',\n",
       " '',\n",
       " '别家出新品我不屑一顾 一点点出新品 我高低得尝尝',\n",
       " '蔓越莓太甜了，杨梅也挺甜的哈哈哈',\n",
       " '看到一点点出新品，这第七条理由瞬间瓦解了啊，健康什么的，下次再说吧！',\n",
       " '饿了么BD，没有套路扫码直接领15-15红包，全国通用，每天可领，爱点外卖的赶紧薅，领到了记得分享给其他人哈一点点新品几块钱就能薅到',\n",
       " '中午好(u‿ฺuฺ)',\n",
       " '蹲一个神评',\n",
       " '假日吉祥',\n",
       " '下午好假期愉快',\n",
       " '蹭不了 走开',\n",
       " '66666',\n",
       " '55555',\n",
       " '3333',\n",
       " '2222',\n",
       " '',\n",
       " '苹果奶绿听起来清新又解腻，偶尔小放纵一下还是可以的嘛~生活需要点甜味来调味',\n",
       " '',\n",
       " '为了健康 #周一到周日都不能喝奶茶吗#？ 不爱喝，，，，',\n",
       " '【为了健康 #周一到周日都不能喝奶茶吗#？】#奶茶我有七不喝#上热搜，那么奶茶喝还是不喝呢？',\n",
       " '#周一到周日都不能喝奶茶吗#',\n",
       " '#周一到周日都不能喝奶茶吗#',\n",
       " '#奶茶我有七不喝#',\n",
       " '#周一到周日都不能喝奶茶吗#',\n",
       " '#周一到周日都不能喝奶茶吗# #奶茶我有七不喝# 一直不喝',\n",
       " '👍',\n",
       " '',\n",
       " '这两层意思有啥联系',\n",
       " '',\n",
       " '喝太多了',\n",
       " '',\n",
       " '',\n",
       " '#周一到周日都不能喝奶茶吗#',\n",
       " '#周一到周日都不能喝奶茶吗#',\n",
       " '转发微博',\n",
       " '添加剂',\n",
       " '少喝',\n",
       " '']"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comments"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9a01463-8606-4848-a9cb-24feadd44621",
   "metadata": {},
   "source": [
    "## 构造标签"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "e5c66e97-5a2e-4b8d-85f7-68f3f10059b7",
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'tensorflow'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[73], line 6\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mfeature_extraction\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mtext\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m TfidfVectorizer\n\u001b[0;32m      5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpreprocessing\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m LabelEncoder\n\u001b[1;32m----> 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mkeras\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodels\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Sequential\n\u001b[0;32m      7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mkeras\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlayers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m LSTM, Dense, Embedding, Dropout\n\u001b[0;32m      8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mkeras\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpreprocessing\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01msequence\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m pad_sequences\n",
      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'tensorflow'"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import LSTM, Dense, Embedding, Dropout\n",
    "from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
    "from tensorflow.keras.preprocessing.text import Tokenizer\n",
    "import thulac\n",
    "\n",
    "# 1. 数据加载\n",
    "data = pd.read_csv('奶茶话题评论.csv')\n",
    "\n",
    "# 2. 数据预处理\n",
    "# 使用THULAC进行分词（假设THULAC已安装并可调用）\n",
    "thu1 = thulac.thulac(seg_only=True)  # 仅进行分词，不进行词性标注\n",
    "data['text_segmented'] = data['text'].apply(lambda x: ' '.join(thu1.cut(x, text=True)))\n",
    "\n",
    "# 情感标签（这里假设我们已经有情感标签，实际中需要标注或使用工具预测）\n",
    "# 示例：简单地将like_count大于某个阈值的评论视为正面，否则为负面（仅作示例）\n",
    "threshold = 5\n",
    "data['sentiment'] = np.where(data['like_count'] > threshold, 'positive', 'negative')\n",
    "\n",
    "# 平衡数据集（可选，根据需要）\n",
    "# positive_data = data[data['sentiment'] == 'positive']\n",
    "# negative_data = data[data['sentiment'] == 'negative']\n",
    "# min_samples = min(len(positive_data), len(negative_data))\n",
    "# data = pd.concat([positive_data.sample(min_samples), negative_data.sample(min_samples)])\n",
    "\n",
    "# 3. 特征提取\n",
    "# 使用TF-IDF提取文本特征\n",
    "vectorizer = TfidfVectorizer(max_features=5000)\n",
    "X_tfidf = vectorizer.fit_transform(data['text_segmented']).toarray()\n",
    "\n",
    "# 如果需要时序特征，可以从created_at中提取小时等信息，这里简化处理，仅使用文本特征\n",
    "\n",
    "# 标签编码\n",
    "label_encoder = LabelEncoder()\n",
    "y = label_encoder.fit_transform(data['sentiment'])\n",
    "\n",
    "# 4. 数据集划分\n",
    "X_train, X_test, y_train, y_test = train_test_split(X_tfidf, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# 5. 模型构建（LSTM示例，但通常LSTM用于序列数据，这里简化处理，仅展示结构）\n",
    "# 由于TF-IDF特征不是序列数据，直接使用LSTM可能不合适，但为了展示结构，我们仍然使用\n",
    "# 在实际应用中，可以考虑使用CNN或其他适合非序列数据的模型\n",
    "\n",
    "# 对于真正的序列数据（如词向量序列），我们需要先进行词嵌入和序列填充\n",
    "max_words = 5000  # 词汇表大小\n",
    "max_len = 100     # 序列最大长度\n",
    "\n",
    "tokenizer = Tokenizer(num_words=max_words)\n",
    "tokenizer.fit_on_texts(data['text_segmented'])\n",
    "sequences = tokenizer.texts_to_sequences(data['text_segmented'])\n",
    "word_index = tokenizer.word_index\n",
    "data_sequences = pad_sequences(sequences, maxlen=max_len)\n",
    "\n",
    "# 划分序列数据集\n",
    "X_train_seq, X_test_seq, y_train_seq, y_test_seq = train_test_split(data_sequences, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# 构建LSTM模型\n",
    "model = Sequential()\n",
    "model.add(Embedding(input_dim=max_words, output_dim=128, input_length=max_len))\n",
    "model.add(LSTM(100, dropout=0.2, recurrent_dropout=0.2))\n",
    "model.add(Dropout(0.5))\n",
    "model.add(Dense(1, activation='sigmoid'))  # 二分类\n",
    "\n",
    "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "\n",
    "# 训练模型（这里使用序列数据）\n",
    "model.fit(X_train_seq, y_train_seq, batch_size=32, epochs=3, validation_split=0.1)\n",
    "\n",
    "# 评估模型\n",
    "loss, accuracy = model.evaluate(X_test_seq, y_test_seq)\n",
    "print(f'Test Accuracy: {accuracy}')\n",
    "\n",
    "# 6. 结果分析（略）\n",
    "# 可以使用混淆矩阵、分类报告等进行详细分析\n",
    "\n",
    "# 7. 舆情洞见与时序演化（略）\n",
    "# 需要结合具体需求和数据进行分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80bdcf8e-e427-4617-8d4d-88eac560a313",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install tensorflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "282beb8e-07be-428b-9953-145bfdea2724",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "57cd83c7-4ff7-499b-b04a-fb5ae37712ef",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
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